agentshop
payment-ready until 2026-10-21
agentshop sells analytical macro-economic reports per fetch over x402 (USDC on Base mainnet). 115 prebuilt World Bank reports across 24 categories, 86 indicators, 20 economies, covering every year from 2015 to 2025, plus annual editions and a bespoke endpoint that builds a report from any indicator and economy.
Call it x402 v2
x402 v2
- Base URL
- https://reportbazaar.app.workbuddy.host
- Payment
- x402 v2, header channel
$ curl -i 'https://reportbazaar.app.workbuddy.host/report/bundle' An unpaid request returns HTTP 402 with the payment terms. Sign a payment authorization, then retry with the PAYMENT-SIGNATURE header.
Endpoints 29 paid routes on reportbazaar.app.workbuddy.host
GET/report/bundle Base$0.95since 10-14
GET/report/custom Base$0.36since 10-14
GET/report/macro-air-quality Base$0.11since 10-14
GET/report/macro-electricity-access Base$0.08since 10-14
GET/report/macro-food Base$0.07since 10-14
GET/report/macro-forest Base$0.07since 10-14
GET/report/macro-gdp Base$0.13since 10-14
GET/report/macro-gender-parliament Base$0.09since 10-14
21 more in Example 402 response
Prices as captured in the 402 response: median $0.20 across the 29 endpoints, unchanged since first capture.
Example 402 response
Endpoints and prices
| Method | Path | Description | Price | Network | Asset | 402 channel | Captured |
|---|---|---|---|---|---|---|---|
| GET | / | No description | $0.95 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.36 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.11 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.08 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.07 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.07 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.13 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.09 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.08 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.13 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.12 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.07 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.09 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.10 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.11 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.13 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.23 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.20 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.23 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.25 | Base | USDC | header | since 10-14 |
| GET | / | No description | $0.28 | Base | USDC | header | since 10-14 |
Payment evidence
402 payload captured at . Check evidence JSON · Measurement methodology.
First of 29 payloads captured by the monitor.
134 lines, scroll inside
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "130000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-gdp",
"tags": [
"gdp",
"gross domestic product",
"economy size",
"output",
"nominal gdp"
],
"mimeType": "text/html",
"description": "GDP at current US dollars for ten major economies, with period CAGR, share of group total, latest-year growth, volatility and a full year-by-year matrix. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.CD"
],
"contentType": "text/html",
"description": "GDP Comparison Report — Major Economies",
"freePreview": "/preview/macro-gdp",
"indicatorsLabel": [
"GDP (current US$)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
} Other captured 402 responses (28)
Captured payload 2 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "130000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-inflation",
"tags": [
"inflation consumer prices",
"inflation",
"cpi",
"consumer prices",
"cost of living"
],
"mimeType": "text/html",
"description": "Consumer-price inflation across ten economies — monetary-policy stance, peak-inflation year and average inflation over the period. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"FP.CPI.TOTL.ZG"
],
"contentType": "text/html",
"description": "Inflation Rate Comparison Report",
"freePreview": "/preview/macro-inflation",
"indicatorsLabel": [
"Inflation, consumer prices (annual %)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 3 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "70000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-patents",
"tags": [
"patent applications residents",
"patents",
"intellectual property",
"innovation output",
"ip filings"
],
"mimeType": "text/html",
"description": "Patent applications filed by residents — a direct measure of domestic inventive output. Coverage is limited to the most recent available years. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"IP.PAT.RESD"
],
"contentType": "text/html",
"description": "Resident Patent Applications Report",
"freePreview": "/preview/macro-patents",
"indicatorsLabel": [
"Patent applications, residents"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 4 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "70000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-food",
"tags": [
"food production index",
"food production",
"agriculture",
"food security",
"crop output"
],
"mimeType": "text/html",
"description": "Food production index (2014-2016 = 100) — agricultural output trajectory and food-security supply side. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"AG.PRD.FOOD.XD"
],
"contentType": "text/html",
"description": "Food Production Index Report",
"freePreview": "/preview/macro-food",
"indicatorsLabel": [
"Food production index (2014-2016 = 100)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 5 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "70000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-forest",
"tags": [
"forest area",
"forest",
"deforestation",
"land use",
"carbon sink"
],
"mimeType": "text/html",
"description": "Forest area as a share of land area — land-use change and carbon-sink capacity, reported at multi-year intervals. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"AG.LND.FRST.ZS"
],
"contentType": "text/html",
"description": "Forest Area Report",
"freePreview": "/preview/macro-forest",
"indicatorsLabel": [
"Forest area (% of land area)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 6 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "130000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-unemployment",
"tags": [
"unemployment total",
"unemployment",
"joblessness",
"labour market",
"employment"
],
"mimeType": "text/html",
"description": "Total unemployment as a share of the labor force — labor-market slack, best/worst year and period average. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SL.UEM.TOTL.ZS"
],
"contentType": "text/html",
"description": "Unemployment Rate Report",
"freePreview": "/preview/macro-unemployment",
"indicatorsLabel": [
"Unemployment, total (% of labor force)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 7 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "120000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-life-expectancy",
"tags": [
"life expectancy at birth total",
"mortality rate under 5",
"life expectancy",
"mortality",
"public health"
],
"mimeType": "text/html",
"description": "Life expectancy at birth and under-5 mortality per 1,000 live births — two complementary population-health measures. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SP.DYN.LE00.IN",
"SH.DYN.MORT"
],
"contentType": "text/html",
"description": "Life Expectancy and Child Mortality Report",
"freePreview": "/preview/macro-life-expectancy",
"indicatorsLabel": [
"Life expectancy at birth, total (years)",
"Mortality rate, under-5 (per 1,000 live births)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 8 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "90000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-population",
"tags": [
"total population",
"population",
"demographics",
"headcount",
"population size"
],
"mimeType": "text/html",
"description": "Total population for ten economies with compound growth and share of the group. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SP.POP.TOTL"
],
"contentType": "text/html",
"description": "Population Comparison Report",
"freePreview": "/preview/macro-population",
"indicatorsLabel": [
"Total population"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 9 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "80000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-health",
"tags": [
"current health expenditure",
"health expenditure",
"healthcare spending",
"health system",
"medical cost"
],
"mimeType": "text/html",
"description": "Current health expenditure as a percentage of GDP — the fiscal weight of each health system. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SH.XPD.CHEX.GD.ZS"
],
"contentType": "text/html",
"description": "Health Expenditure Report",
"freePreview": "/preview/macro-health",
"indicatorsLabel": [
"Current health expenditure (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 10 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "110000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-air-quality",
"tags": [
"pm2 5 air pollution",
"freshwater withdrawal",
"air quality",
"pm2.5",
"pollution"
],
"mimeType": "text/html",
"description": "Mean PM2.5 concentration and freshwater withdrawal as a share of internal resources — environmental stress indicators relevant to operational and sovereign risk. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"EN.ATM.PM25.MC.M3",
"ER.H2O.FWTL.ZS"
],
"contentType": "text/html",
"description": "Air Quality and Water Stress Report",
"freePreview": "/preview/macro-air-quality",
"indicatorsLabel": [
"PM2.5 air pollution (micrograms per cubic meter)",
"Freshwater withdrawal (% of internal resources)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 11 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "110000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-undernourishment",
"tags": [
"prevalence of undernourishment",
"food security",
"undernourishment",
"hunger",
"nutrition"
],
"mimeType": "text/html",
"description": "Prevalence of undernourishment — the food-security stress measure, published as a model-based estimate in three-year windows. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SN.ITK.DEFC.ZS"
],
"contentType": "text/html",
"description": "Undernourishment Report",
"freePreview": "/preview/macro-undernourishment",
"indicatorsLabel": [
"Prevalence of undernourishment (% of population)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 12 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "100000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-renewable-power",
"tags": [
"renewable electricity output",
"renewable electricity",
"solar",
"wind",
"power mix"
],
"mimeType": "text/html",
"description": "Renewable electricity as a share of total electricity output — the power-mix transition measured at the generation stage. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"EG.ELC.RNEW.ZS"
],
"contentType": "text/html",
"description": "Renewable Electricity Output Report",
"freePreview": "/preview/macro-renewable-power",
"indicatorsLabel": [
"Renewable electricity output (% of total electricity output)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 13 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "80000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-electricity-access",
"tags": [
"access to electricity",
"electricity access",
"electrification",
"energy poverty",
"grid coverage"
],
"mimeType": "text/html",
"description": "Share of the population with access to electricity — the electrification baseline that conditions every downstream demand estimate. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"EG.ELC.ACCS.ZS"
],
"contentType": "text/html",
"description": "Electricity Access Report",
"freePreview": "/preview/macro-electricity-access",
"indicatorsLabel": [
"Access to electricity (% of population)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 14 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "90000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/macro-gender-parliament",
"tags": [
"proportion of seats held by women in national parliaments",
"gender equality",
"women in parliament",
"governance",
"esg"
],
"mimeType": "text/html",
"description": "Proportion of national parliamentary seats held by women — a governance and institutional-quality measure used in ESG screening. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"SG.GEN.PARL.ZS"
],
"contentType": "text/html",
"description": "Women in Parliament Report",
"freePreview": "/preview/macro-gender-parliament",
"indicatorsLabel": [
"Proportion of seats held by women in national parliaments (%)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 15 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "250000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/yearbook-2024",
"tags": [
"gdp",
"gdp growth",
"inflation consumer prices",
"unemployment total",
"total population"
],
"mimeType": "text/html",
"description": "Year-in-review for 2024: output, real growth, consumer inflation, unemployment and population for twenty economies over the five years 2020-2024. Carries the full cross-indicator correlation matrix, per-economy trend and momentum, outlier-year flags and the year-by-year matrix, so it answers both \"where does 2024 sit\" and \"how did it get there\". Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2020:2024",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.CD",
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"SP.POP.TOTL"
],
"contentType": "text/html",
"description": "2024 Yearbook — World Economy, 2020-2024",
"freePreview": "/preview/yearbook-2024",
"indicatorsLabel": [
"GDP (current US$)",
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Total population"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 16 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
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"tags": [
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"gdp growth",
"inflation consumer prices",
"unemployment total",
"total population"
],
"mimeType": "text/html",
"description": "Year-in-review for 2025: output, real growth, consumer inflation, unemployment and population for twenty economies over the five years 2021-2025. Carries the full cross-indicator correlation matrix, per-economy trend and momentum, outlier-year flags and the year-by-year matrix, so it answers both \"where does 2025 sit\" and \"how did it get there\". Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
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}
},
"output": {
"type": "json",
"example": {
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"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
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"ranking table",
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"trend with R²",
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"indicators": [
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],
"contentType": "text/html",
"description": "2025 Yearbook — World Economy, 2021-2025",
"freePreview": "/preview/yearbook-2025",
"indicatorsLabel": [
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]
}
}
},
"schema": {
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"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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],
"properties": {
"input": {
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"required": [
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],
"properties": {
"type": {
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"const": "http"
},
"method": {
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],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
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],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
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],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 17 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "360000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/custom",
"tags": [
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"bespoke",
"any indicator",
"any economy",
"world bank"
],
"mimeType": "text/html",
"description": "Request any combination of supported indicators, economies and years. Priced by request size, so a single-indicator slice is cheap and a wide panel costs more.",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"years": "2015:2025",
"countries": "US,CN,JP",
"indicators": "NY.GDP.MKTP.CD,FP.CPI.TOTL.ZG"
}
},
"output": {
"type": "json",
"example": {
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"cross-indicator correlation matrix",
"coverage and data-quality disclosure"
],
"contentType": "text/html",
"description": "Bespoke report covering exactly the requested indicators, economies and years",
"pricingNote": "Quoted per request: base plus a per-indicator and per-economy increment, so the exact amount is only known once the parameters are known."
}
}
},
"schema": {
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"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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],
"properties": {
"input": {
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"required": [
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],
"properties": {
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"const": "http"
},
"method": {
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],
"type": "string"
},
"queryParams": {
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"properties": {
"title": {
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"pattern": "^\\d{4}:\\d{4}$",
"description": "Inclusive year range, e.g. 2015:2025."
},
"format": {
"enum": [
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"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
},
"countries": {
"type": "string",
"description": "Comma-separated ISO-2 economy codes, or \"all\" (29 supported). Defaults to 20 major economies."
},
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"description": "Comma-separated World Bank indicator codes, or \"all\" (86 supported). See /indicators."
}
},
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}
},
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},
"output": {
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"required": [
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],
"properties": {
"type": {
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},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 18 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "950000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
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"tags": [
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"all reports",
"full catalog",
"dataset",
"world bank"
],
"mimeType": "text/html",
"description": "Every catalog report in a single document for ONE x402 payment — the highest-value purchase in the store. It costs a fraction of buying the reports separately and unlocks the entire dataset (all economies, all years, all indicators) with one signed USDC transfer. Available as html or json. Pass ?category= to take one theme at a lower price.",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html",
"category": "agriculture"
}
},
"output": {
"type": "json",
"example": {
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contentType": "text/html",
"description": "All 115 catalog reports inlined in a single document with a table of contents",
"discountNote": "Priced as a fraction of the sum of the individual report prices. A single payment always stays under the default per-payment ceiling applied by x402 buyer libraries."
}
}
},
"schema": {
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"required": [
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],
"properties": {
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"required": [
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],
"properties": {
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"const": "http"
},
"method": {
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],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format."
},
"category": {
"enum": [
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"comparison",
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"health",
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"innovation",
"investment",
"labor",
"macro",
"output",
"prices",
"regional",
"society",
"structure",
"trade"
],
"type": "string",
"description": "Restrict the bundle to one catalog category, which costs less than the full catalog."
}
},
"additionalProperties": false
}
},
"additionalProperties": false
},
"output": {
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"required": [
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],
"properties": {
"type": {
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},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 19 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/region-apac",
"tags": [
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"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Five-variable macro panel for the core Asia-Pacific economies — real growth, consumer inflation, unemployment, central-government debt and trade openness — the regional read behind Asia allocation and supply-chain calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
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"json",
"csv",
"summary-csv"
],
"contains": [
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"ranking table",
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],
"economies": 5,
"indicators": [
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"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Asia-Pacific Macro Snapshot — CN, JP, IN, KR, ID",
"freePreview": "/preview/region-apac",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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],
"properties": {
"input": {
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"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
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],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
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"json",
"csv",
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],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
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"required": [
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],
"properties": {
"type": {
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},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 20 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/region-europe",
"tags": [
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"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Five-variable macro panel for the major European economies — real growth, inflation, unemployment, government debt and trade openness — the regional read behind European allocation and policy calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
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"json",
"csv",
"summary-csv"
],
"contains": [
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"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 6,
"indicators": [
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"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Europe Macro Snapshot — DE, FR, GB, IT, ES, RU",
"freePreview": "/preview/region-europe",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
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"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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],
"properties": {
"input": {
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"required": [
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],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
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],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
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"json",
"csv",
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],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
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"required": [
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],
"properties": {
"type": {
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},
"example": {
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}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 21 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
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"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/region-latam",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Five-variable macro panel for the largest Latin American economies — real growth, inflation, unemployment, government debt and trade openness — the regional read behind LatAm allocation and commodity calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
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"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
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],
"economies": 3,
"indicators": [
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"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Latin America Macro Snapshot — BR, MX, AR",
"freePreview": "/preview/region-latam",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
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"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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],
"properties": {
"input": {
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"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
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"required": [
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],
"properties": {
"type": {
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},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 22 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/region-em",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Five-variable macro panel for the major emerging markets — real growth, inflation, unemployment, government debt and trade openness — the cross-emerging read behind EM allocation and external-vulnerability calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 8,
"indicators": [
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"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Emerging Markets Macro Snapshot — BR, IN, ID, TR, ZA, MX, AR, KR",
"freePreview": "/preview/region-em",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
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],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 23 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/region-na",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Five-variable macro panel for North America — real growth, inflation, unemployment, government debt and trade openness across the US, Canada and Mexico, the regional read behind North American allocation and nearshoring calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 3,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "North America Macro Snapshot — US, CA, MX",
"freePreview": "/preview/region-na",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 24 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/pair-us-cn",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Side-by-side macro read on the two largest economies — real growth, consumer inflation, unemployment, central-government debt and trade openness — the direct comparison behind US-China allocation, decoupling and tariff calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 2,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "US vs China Macro Comparison — Growth, Inflation, Debt, Trade",
"freePreview": "/preview/pair-us-cn",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 25 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/pair-gb-eu",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "Britain against the Franco-German core across growth, inflation, jobs, debt and trade — the post-Brexit divergence read behind UK-vs-EU allocation and policy calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 3,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "UK vs EU Core Macro Comparison — Post-Brexit",
"freePreview": "/preview/pair-gb-eu",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 26 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "280000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/pair-cn-in",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "China and India head to head — growth trajectories, inflation regimes, jobs and trade orientation, the supply-chain and allocation read behind the \"which Asia\" decision. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2015:2025",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 2,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "China vs India Macro Comparison — Asia’s Two Giants",
"freePreview": "/preview/pair-cn-in",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 27 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "200000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/shock-covid",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "The pandemic shock in five variables across twenty economies — the 2020 contraction, the 2021 rebound and the policy-debt residue — the crisis read behind pandemic-risk and recovery-trading calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2020:2021",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "COVID-19 Shock Snapshot — 2020-2021, 20 Economies",
"freePreview": "/preview/shock-covid",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 28 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "230000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/shock-inflation",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "The 2021-2023 inflation surge in five variables across twenty economies — the spike, the labour-market squeeze and the policy-debt build, the crisis read behind rate-path and real-asset calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2021:2023",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Global Inflation Shock Snapshot — 2021-2023, 20 Economies",
"freePreview": "/preview/shock-inflation",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Captured payload 29 of 29
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xba7efeabfab91a6febc8d8088faa29ce95979b34",
"amount": "230000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://reportbazaar.app.workbuddy.host/report/shock-commodity",
"tags": [
"gdp growth",
"inflation consumer prices",
"unemployment total",
"central government debt total",
"trade"
],
"mimeType": "text/html",
"description": "The 2022 energy-and-food shock in five variables across twenty economies — the growth hit, the inflation overshoot and the trade-balance swing, the crisis read behind energy, grain and EM-current-account calls. Source: World Bank Open Data (CC BY 4.0).",
"serviceName": "agentshop"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"format": "html"
}
},
"output": {
"type": "json",
"example": {
"years": "2022:2022",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"GC.DOD.TOTL.GD.ZS",
"NE.TRD.GNFS.ZS"
],
"contentType": "text/html",
"description": "Commodity & Energy Shock Snapshot — 2022, 20 Economies",
"freePreview": "/preview/shock-commodity",
"indicatorsLabel": [
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Central government debt, total (% of GDP)",
"Trade (% of GDP)"
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"format": {
"enum": [
"html",
"json",
"csv",
"summary-csv"
],
"type": "string",
"description": "Delivery format. csv is a tidy long panel; summary-csv is one row per economy of derived metrics."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Can I trust it score from our own monitoring
score from our own monitoring
83/100 Solid
#226 of 377 in Data. Bands: strong 93+, solid 75+, mixed 55+, weak below 55.
- Reliability
- 100% uptime since 10-14
- Compliance
- A 14/14 checks pass
- Price
- $0.07 to $0.95 p91 in Data
- Risk
- clean no risk flag
- Traction
- $0.00 30d 0 buyers
14/14 compliance checks
- 402 payload captured
- accepts[] array present
- payTo address recoverable
- payTo at accepts[0].payTo (conformant shape)
- payTo is a valid on-chain address
- atomic price declared
- atomic price in a sane range
- asset (token) address declared
- network resolves to CAIP-2
- payment scheme declared
- served over HTTPS
- declares the current x402 version (2)
- EIP-712 domain parameters present on every EVM entry
- x402 v2 envelope delivered in the payment-required header
402 terms unchanged since 2026-10-14. Last up 2026-10-14.
── Site signals
- homepage reachable
- openapi doc
- pricing page
- llms.txt
- robots.txt
- terms page
How the score works
What the score read on this service: status online, 100% uptime, latest daily rollup (no 30d window yet), 295ms response p95, x402 compliance 14 of 14, $0.07 price against the category, on-chain traction measured. Each of those is measured, and each is published in full below.
The score comes from our own monitoring, never from reviews, operator claims, or a language model: reliability, x402 compliance, price against the category, a deterministic risk flag, and a small on-chain traction term, weighted by ranking generation 3. It is not placement anyone can buy: the paid verify tier is reported beside it and is not one of its inputs. Every component below stays published and read-only.
Bands on the 0 to 100 measured score: strong at 93 and above, solid from 75, mixed from 55, weak below 55. Price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, so the score places a service in its own field.
It is a score inside Data, and only there: price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, which here means 377 listings, this one among them: the same 377 the position above is counted against. When the two differ, the field is the wider one, because a listing we have measured too little of to rank still sits in the field the price and the speed are normalized over. The same service in a different field would read differently. The same engine answers GET /api/v1/best, and asked for a different pool (the whole directory, or another filter) it returns a different number for this service under this same ranking generation. Neither is more correct: they answer different questions, and the methodology states which is which.
Traction is a conservative undercount.
All measured facts
What it does
agentshop sells analytical macro-economic reports per fetch over x402 (USDC on Base mainnet). 115 prebuilt World Bank reports across 24 categories, 86 indicators, 20 economies, covering every year from 2015 to 2025, plus annual editions and a bespoke endpoint that builds a report from any indicator and economy. Delivery is html, json, or tidy csv. Free machine-readable previews at /preview/{id} (also markdown), a browsable year index at /years, and an MCP endpoint at /mcp. No account, no API key, no signup: an unpaid request returns HTTP 402 with the price and a valid request returns the document. Source: World Bank Open Data (CC BY 4.0), attributed in every document.
agentshop is a listed x402 Data API. Captured payment terms name Base. Monitoring and settlement figures below describe the observations available to this directory; an unpaid HTTP 402 check does not prove that a paid call will deliver.
Assessment computed at . Latest service check observed at . Service data JSON · Measurement methodology.
Page rendered at . This response time is separate from the observation and computation times attached to each measurement.
Latest endpoint observation: . Latest price capture: . Prices are recorded quotes, not a promise of availability. Token assets and payment terms are listed separately. Endpoint data JSON · Price history JSON · Measurement methodology.
Assessment computed at . Uptime uses the stated daily-rollup window; response times are in milliseconds, compliance is passed/evaluated checks, and traction is a measured settlement floor. The comparison score is out of 100 within this category. Assessment JSON · Measurement methodology.
Observed daily coverage: 2026-09-15 to 2026-10-14 UTC. Daily monitoring and settlement rollups do not expose their computation time; a bucket date is not an update timestamp. Uptime and response JSON · Volume JSON · Buyers JSON · Measurement methodology.
Ranked from the measured category pool, refreshed at most once a minute. The comparison has no persisted computation timestamp; the assessment time above belongs to this service only. Ranking API documentation · Ranking methodology.
x402 List home · Services · Data
- uptime · latest daily rollup
- -
- uptime 7d
- -
- uptime 30d
- -
- uptime 90d
- -
- response p95
- 295ms
- avg response
- 295ms
- total checks
- 1
Measured on the unpaid 402 handshake, not the paid call. A service can 402 correctly and still fail after payment.
- price (min)
- $0.07
- price (max)
- $0.95
- category percentile (min)
- p91 in Data
- category percentile (max)
- p89 in Data
- endpoints / prices
- 29 / 13
- model
- tiered
- stability
- 100%
No deterministic risk flag. Risk fires only on an exact blocklist match, or a reserved-brand name with a mismatched verified payTo. Never from low uptime, a high price, or a model guess.
- domain age
- 135d
- registrar
- Xin Net Technology Corporation
- hosting
- custom
- domain created
- 2026-06-01
Identity facts, not a risk score.
- assessment volume 30d
- $0.00
- exact assessment volume 30d (USD)
- 0
- assessment recorded at (UTC)
- 2026-10-14T10:03:18.993Z
- buyers 30d
- 0
- settlements 30d
- 0
- measured since
- --- (start of our harvest window)
- last settlement
- ---
- top buyer share
- -
- top 3 buyers share
- -
- concentrated volume
- no
- trend 7d vs 30d
- -
- networks
- eip155:8453
- volume all-time
- $0
- settlements all-time
- 0
- median settlement 30d
- -
- max settlement 30d
- -
Assessment volume uses the latest 30d assessment. Over time sums daily address snapshots, rounded to cents and refreshed separately. The two sources can differ in timing, precision and shared-address attribution. Amounts use cents for comparison; known sub-cent values keep up to 12 significant digits. The exact stored assessment value is shown above.
Conservative undercount: only USDC settlements via facilitators we measure are counted. A measured floor, not an estimate.
Top buyer share lowers the on-chain traction part of the ranking score behind this page's verdict and /best, by up to half when one address holds all 30d volume. The Recommended and Highest volume sorts of the services list do not use it; they use the Concentrated volume rule instead.
- member since
- 2026-10-14
Recent checks
| Checked at (UTC) | Status | HTTP | Response | Endpoints |
|---|---|---|---|---|
| Online | 402 | 480ms | 29 | |
| Online | 402 | 441ms | 29 | |
| Online | 402 | 520ms | 29 | |
| Online | 402 | 439ms | 29 | |
| Online | 402 | 481ms | 29 | |
| Online | 402 | 353ms | 29 | |
| Online | 402 | 462ms | 29 | |
| Online | 402 | 295ms | 29 |
Changes0 in 30d
No changes recorded in the last 30 days.
Over time
On-chain volume daily snapshots, USD 30d: $0.00, peak $0.52 on 09-21
volume no data in the payload
Distinct buyers per dayDistinct buyers per day
Uptime no completed-day data
- Volume 30d
- $0.00
- Uptime
- no completed-day data
More charts
Response time daily average, ms min 398ms, avg 398ms, max 398ms
09-15 to 10-14* UTC
Each series spans only the dates it has data for. Every series is also served as JSON at /api, /scores, /volume and /buyers.
Values
* today so far, partial (UTC).
The uptime summary counts completed UTC days only. The strip, readouts and table retain today's partial reading.
Daily snapshot total, 30d: $0.66, peak $0.52 on 09-21. The visible 30d total in Traction comes from the latest assessment. These sources can differ in their window, refresh time, cent rounding and shared-address attribution.
Daily address snapshots: 2026-09-15 to 2026-10-14 UTC; * today so far, partial (UTC). Daily snapshots store cents. A recorded $0.00 with settlements cannot distinguish exact zero from volume rounded away. Lost precision is unavailable here.
Settlement volume uses the stored USD valuation of tracked payments; it is distinct from token quantities. USD-pegged assets are valued at 1 USD per token in these rollups. The measured settlement floor does not cover all payments to this service.
Assessment history last recorded at . Each UTC day uses its last recorded run; missing readings stay unmeasured. Assessment history JSON · Measurement methodology.
| Day | Volume | Buyers | Settlements | Uptime | Response | Compliance | Price percentile | Site signals |
|---|---|---|---|---|---|---|---|---|
| 2026-09-21 | $0.52 | 1 | 6 | no data | no data | no data | no data | no data |
| 2026-09-22 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-23 | $0.07 | 1 | 1 | no data | no data | no data | no data | no data |
| 2026-09-24 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-25 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-26 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-27 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-28 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-29 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-09-30 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-01 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-02 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-03 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-04 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-05 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-06 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-07 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-08 | $0.07 | 1 | 1 | no data | no data | no data | no data | no data |
| 2026-10-09 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-10 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-11 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-12 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-13 | no data | no data | no data | no data | no data | no data | no data | no data |
| 2026-10-14* | no data | no data | no data | 100% | 397.75ms | 14/14 | p91 | 4/6 |
Alternatives in Data
5 of 376 other ranked services in Data, ordered by the same measured score.
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Verify this service ($0.25)Embed a badge
HTML
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Markdown
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HTML, live uptime variant
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Delisting
To request delisting, email info@x402-list.com or update your listing at /services/agentshop-mv7xvscs-0/update.