GigSoul x402 API
payment-ready until 2026-11-12
Pay-per-call AI agent tools for marketing, content, research, and analysis. 23 endpoints ($0.04-$0.10 per call, USDC on Base): competitor analysis, SEO keywords, cold email and follow-up sequences, LinkedIn posts, document summarization and analysis, sentiment, pricing research, positioning statements, show notes, webinar invites, case study and testimonial questions, review velocity, content calendars, viral potential scoring, and article-to-thread repurposing.
Compare: all sentiment analysis APIs · all social media APIs · all SEO APIs
Call it x402 v2
x402 v2
- Base URL
- https://api.gigsoul.com
- Payment
- x402 v2, header channel
$ curl -i 'https://api.gigsoul.com/analyze-competitors' An unpaid request returns HTTP 402 with the payment terms. Sign a payment authorization, then retry with the PAYMENT-SIGNATURE header.
Endpoints 23 paid routes on api.gigsoul.com
GET/analyze-competitors Base$0.05since 09-21
GET/analyze-document Base$0.05since 09-21
GET/analyze-marketing-trends Base$0.05since 09-21
GET/analyze-review-velocity Base$0.05since 09-21
GET/analyze-sentiment Base$0.04since 09-21
GET/analyze-seo-keywords Base$0.04since 09-21
GET/extract-pain-points Base$0.05since 09-21
GET/generate-case-study-questions Base$0.04since 09-21
15 more in Example 402 response
Prices as captured in the 402 response: median $0.05 across the 23 endpoints.
Example 402 response
Endpoints and prices
| Method | Path | Description | Price | Network | Asset | 402 channel | Captured |
|---|---|---|---|---|---|---|---|
| GET | / | Map a market's competitors: names, strengths, weaknesses, and how each is positioned. Use for landscape and positioning questions ('who else does X and how do they differ'). Pricing is not covered; for plan tiers and price comparison use research-competitor-pricing. Based on model training knowledge, not a live lookup; figures are estimates. Recent entrants may be missing. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Evaluate a document or article and say what to do about it: a short summary plus key insights, weaknesses or gaps, and concrete recommendations. Use when you need judgment or next steps. For a neutral digest only, use summarize-document (cheaper). For customer complaints inside a text, use extract-pain-points. URLs are not fetched; paste the text. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Name the top 5 marketing trends for an industry or topic, with a short description of each. Use for trend briefings and idea generation. Based on model training knowledge, not a live lookup; figures are estimates. It may miss very recent shifts. For a full plan built on these, use generate-marketing-strategy. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Judge review momentum from review data you supply (dates, ratings, text): velocity score, sentiment trend, and response recommendations. Use for 'are reviews speeding up or slowing down, and how should we respond'. You must include the reviews; it does not fetch from G2, Capterra, or app stores. For one-off tone, use analyze-sentiment. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Classify the overall sentiment of a text and name its key themes and emotional triggers. Use for 'how do people feel about this'. For specific problems to fix, use extract-pain-points. For review momentum over time, use analyze-review-velocity. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Suggest the top 10 SEO keywords for a topic with estimated relative search volume and difficulty. Use for early keyword ideation and content planning. Based on model training knowledge, not a live lookup; figures are estimates. Not live keyword-tool data; validate volumes in an SEO tool before committing budget. For a posting schedule, use generate-content-calendar. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Pull the top 5 customer pain points out of text you supply (reviews, interview notes, support tickets, forum threads), each with severity and a suggested fix. Use when you have raw customer voice. For overall tone and emotion, use analyze-sentiment. For review trends over time, use analyze-review-velocity. URLs are not fetched; paste the text. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Write 10 open-ended discovery questions, grouped by category, for interviewing a customer for a full written case study (problem, solution, results). For short quotable praise, use generate-testimonial-questions. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Write a first-touch cold email for a product and audience: subject line, preview text, and a 100-150 word body. Use for the opening message. For the follow-ups after no reply, use generate-follow-up-sequence. To check spam risk before sending, use check-email-deliverability. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Plan a 30-day content calendar: daily themes, post types, and a posting schedule. Use for planning a month of content. For the overall strategy behind it, use generate-marketing-strategy. For the posts themselves, use generate-linkedin-post or repurpose-long-form. | $0.06 | Base | USDC | header | since 09-21 |
| GET | / | Write a 3-email follow-up sequence (subjects, timing, and body) for prospects who did not reply to a first email. For the first-touch email, use generate-cold-email. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Write one LinkedIn post on a topic: post text, hashtags, and an opening hook. Use for a single original post. To adapt an existing article for LinkedIn and other channels at once, use repurpose-long-form. To score a draft before posting, use predict-viral-potential. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Build a full go-to-market plan for a product: target audience, positioning, channels, and timeline. Use when starting from scratch or needing a whole plan. For only a tagline and value proposition, use generate-positioning-statement. For a 30-day posting schedule, use generate-content-calendar. | $0.10 | Base | USDC | header | since 09-21 |
| GET | / | Write positioning for one product: tagline, value proposition, and differentiation. Use for a single positioning block. For a full plan with channels and timeline, use generate-marketing-strategy. For competitor research first, use analyze-competitors. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Write podcast show notes from a transcript or outline: episode summary, key timestamps, guest bio, and links. Timestamps and links come only from the input; supply a transcript with times for accurate timestamps. URLs are not fetched; paste the text. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Write 8 short questions that draw out quotable customer testimonials. Use when you need quotes, not a long story. For a full case-study interview, use generate-case-study-questions. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Write webinar invitation copy: two invite emails and a landing-page blurb. Use when promoting a scheduled webinar or live event. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Score a draft post before publishing: a virality score broken down by emotion, specificity, novelty, and shareability, plus the best-fit platform. A heuristic prediction, not a reach forecast. For landing-page copy use score-landing-page; to generate test variants use generate-ab-test-variants. | $0.05 | Base | USDC | header | since 09-21 |
| GET | / | Repurpose one long piece for several channels at once: a LinkedIn post, an X thread, an email draft, and a blog intro. Use when you need all four. For an X thread only, use thread-from-article (cheaper). URLs are not fetched; paste the text. | $0.06 | Base | USDC | header | since 09-21 |
| GET | / | Compare competitor pricing in a product category: competitor names, plan tiers and price points, and a value-for-money comparison. Use for pricing and packaging decisions. For strengths, weaknesses, and positioning, use analyze-competitors. Based on model training knowledge, not a live lookup; figures are estimates. Confirm prices on vendors' sites before quoting them. | $0.06 | Base | USDC | header | since 09-21 |
| GET | / | Research a sales prospect company: company profile, decision-maker role profile (role-level, not a named person), likely pain points, and an outreach angle. Use before writing outreach; then use generate-cold-email. Based on model training knowledge, not a live lookup; figures are estimates. | $0.06 | Base | USDC | header | since 09-21 |
| GET | / | Condense a document or article into what it says: main argument, key findings, and supporting evidence. Use when you need a faithful digest with no opinion added. For judgment on top of the content (insights, gaps, recommended actions), use analyze-document. To turn an article into social posts, use thread-from-article or repurpose-long-form. URLs are not fetched; paste the text. | $0.04 | Base | USDC | header | since 09-21 |
| GET | / | Turn one article into an X/Twitter thread of 5-10 posts. Use when X is the only target. For LinkedIn, email, and blog versions at once, use repurpose-long-form. URLs are not fetched; paste the text. | $0.05 | Base | USDC | header | since 09-21 |
Payment evidence
402 payload captured at . Check evidence JSON · Measurement methodology.
First of 23 payloads captured by the monitor.
118 lines, scroll inside
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-cold-email",
"mimeType": "application/json",
"description": "Write a cold email for a product or audience. Returns subject line, preview text, and a 100-150 word body."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "pitching x402 pay-per-call APIs to agent developers"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "pitching x402 pay-per-call APIs to agent developers"
}
},
"output": {
"type": "json",
"example": {
"query": "pitching x402 pay-per-call APIs to agent developers",
"result": "JSON string with subject line, preview text, body",
"pathname": "/generate-cold-email"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
} Other captured 402 responses (22)
Captured payload 2 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-marketing-trends",
"mimeType": "application/json",
"description": "Analyze current marketing trends for an industry or topic. Returns the top 5 trends with brief descriptions and data sources."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "AI agent economy"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "AI agent economy"
}
},
"output": {
"type": "json",
"example": {
"query": "AI agent economy",
"result": "JSON string with top 5 trends with descriptions and data sources",
"pathname": "/analyze-marketing-trends"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 3 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "100000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-marketing-strategy",
"mimeType": "application/json",
"description": "Generate a comprehensive marketing strategy for a product or market. Returns target audience, positioning, channels, and timeline."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "a pay-per-call API marketplace for AI agents"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "a pay-per-call API marketplace for AI agents"
}
},
"output": {
"type": "json",
"example": {
"query": "a pay-per-call API marketplace for AI agents",
"result": "JSON string with target audience, positioning, channels, timeline",
"pathname": "/generate-marketing-strategy"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 4 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-competitors",
"mimeType": "application/json",
"description": "Analyze competitors for a product or market. Returns competitor names, strengths, weaknesses, and market positioning."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "AI agent marketplaces"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "AI agent marketplaces"
}
},
"output": {
"type": "json",
"example": {
"query": "AI agent marketplaces",
"result": "JSON string with competitor names, strengths, weaknesses, positioning",
"pathname": "/analyze-competitors"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 5 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-seo-keywords",
"mimeType": "application/json",
"description": "Analyze SEO keywords for a topic. Returns the top 10 keywords with search volume estimates and difficulty scores."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "AI agent tools"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "AI agent tools"
}
},
"output": {
"type": "json",
"example": {
"query": "AI agent tools",
"result": "JSON string with top 10 keywords with volume estimates and difficulty scores",
"pathname": "/analyze-seo-keywords"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 6 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-linkedin-post",
"mimeType": "application/json",
"description": "Write a compelling LinkedIn post about a topic. Returns post text, hashtags, and an engagement hook."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "why AI agents need a payment rail"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "why AI agents need a payment rail"
}
},
"output": {
"type": "json",
"example": {
"query": "why AI agents need a payment rail",
"result": "JSON string with post text, hashtags, engagement hook",
"pathname": "/generate-linkedin-post"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 7 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "60000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/research-prospect",
"mimeType": "application/json",
"description": "Research a sales prospect. Returns company profile, decision-maker role profile (role-level, not a named person), pain points, and an outreach angle. Based on training knowledge, not live lookup."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "a Series A devtools startup building AI agents"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "a Series A devtools startup building AI agents"
}
},
"output": {
"type": "json",
"example": {
"query": "a Series A devtools startup building AI agents",
"result": "JSON string with company, decision maker, pain points, outreach angle",
"pathname": "/research-prospect"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 8 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/summarize-document",
"mimeType": "application/json",
"description": "Summarize a document or article. Returns key findings, the main argument, and supporting evidence."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments"
}
},
"output": {
"type": "json",
"example": {
"query": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments",
"result": "JSON string with key findings, main argument, supporting evidence",
"pathname": "/summarize-document"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 9 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-document",
"mimeType": "application/json",
"description": "Analyze a document or article. Returns a summary, key insights, and recommendations."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "paste the document text or URL here"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "paste the document text or URL here"
}
},
"output": {
"type": "json",
"example": {
"query": "paste the document text or URL here",
"result": "JSON string with summary, key insights, recommendations",
"pathname": "/analyze-document"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 10 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/thread-from-article",
"mimeType": "application/json",
"description": "Convert an article into an X/Twitter thread. Returns an array of 5-10 tweet texts."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments"
}
},
"output": {
"type": "json",
"example": {
"query": "https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments",
"result": "JSON string with array of 5-10 tweet texts",
"pathname": "/thread-from-article"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 11 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "60000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/repurpose-long-form",
"mimeType": "application/json",
"description": "Repurpose long-form content for multiple channels. Returns a LinkedIn post, Twitter thread, email draft, and blog intro."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "paste the long-form content or URL here"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "paste the long-form content or URL here"
}
},
"output": {
"type": "json",
"example": {
"query": "paste the long-form content or URL here",
"result": "JSON string with LinkedIn post, Twitter thread, email draft, blog intro",
"pathname": "/repurpose-long-form"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 12 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-show-notes",
"mimeType": "application/json",
"description": "Generate podcast show notes. Returns episode summary, key timestamps, guest bio, and links."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "episode about the x402 payment protocol"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "episode about the x402 payment protocol"
}
},
"output": {
"type": "json",
"example": {
"query": "episode about the x402 payment protocol",
"result": "JSON string with episode summary, timestamps, guest bio, links",
"pathname": "/generate-show-notes"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 13 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-follow-up-sequence",
"mimeType": "application/json",
"description": "Write a 3-email follow-up sequence. Returns email subjects, timing notes, and body copy."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "following up with agent developers who tried the free tier"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "following up with agent developers who tried the free tier"
}
},
"output": {
"type": "json",
"example": {
"query": "following up with agent developers who tried the free tier",
"result": "JSON string with 3 email subjects, timing notes, body copy",
"pathname": "/generate-follow-up-sequence"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 14 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-webinar-invite",
"mimeType": "application/json",
"description": "Write webinar invitation copy. Returns two invite emails and a landing page blurb."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "webinar: monetizing AI agents with x402 micropayments"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "webinar: monetizing AI agents with x402 micropayments"
}
},
"output": {
"type": "json",
"example": {
"query": "webinar: monetizing AI agents with x402 micropayments",
"result": "JSON string with two invite emails, landing page blurb",
"pathname": "/generate-webinar-invite"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 15 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/extract-pain-points",
"mimeType": "application/json",
"description": "Extract customer pain points from text. Returns the top 5 pain points with severity and suggested solutions."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "forum thread about developers struggling to monetize AI agents"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "forum thread about developers struggling to monetize AI agents"
}
},
"output": {
"type": "json",
"example": {
"query": "forum thread about developers struggling to monetize AI agents",
"result": "JSON string with top 5 pain points, severity, suggested solutions",
"pathname": "/extract-pain-points"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 16 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-sentiment",
"mimeType": "application/json",
"description": "Analyze the sentiment of text. Returns overall sentiment, key themes, and emotional triggers."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "customer reviews of an AI agent platform"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "customer reviews of an AI agent platform"
}
},
"output": {
"type": "json",
"example": {
"query": "customer reviews of an AI agent platform",
"result": "JSON string with overall sentiment, key themes, emotional triggers",
"pathname": "/analyze-sentiment"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 17 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-case-study-questions",
"mimeType": "application/json",
"description": "Generate case study discovery questions. Returns 10 open-ended questions organized by category."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "customer success story for an AI agent startup"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "customer success story for an AI agent startup"
}
},
"output": {
"type": "json",
"example": {
"query": "customer success story for an AI agent startup",
"result": "JSON string with 10 open-ended questions by category",
"pathname": "/generate-case-study-questions"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 18 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "60000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/research-competitor-pricing",
"mimeType": "application/json",
"description": "Research competitor pricing for a product category. Returns competitor names, pricing tiers, and a value comparison."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "AI writing assistants"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "AI writing assistants"
}
},
"output": {
"type": "json",
"example": {
"query": "AI writing assistants",
"result": "JSON string with competitor names, pricing tiers, value comparison",
"pathname": "/research-competitor-pricing"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 19 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-positioning-statement",
"mimeType": "application/json",
"description": "Generate a positioning statement for a product. Returns tagline, value proposition, and differentiation."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "pay-per-call marketplace for AI agent tools"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "pay-per-call marketplace for AI agent tools"
}
},
"output": {
"type": "json",
"example": {
"query": "pay-per-call marketplace for AI agent tools",
"result": "JSON string with tagline, value proposition, differentiation",
"pathname": "/generate-positioning-statement"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 20 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-testimonial-questions",
"mimeType": "application/json",
"description": "Generate testimonial collection questions. Returns 8 questions that elicit powerful customer stories."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "users of a pay-per-call agent API"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "users of a pay-per-call agent API"
}
},
"output": {
"type": "json",
"example": {
"query": "users of a pay-per-call agent API",
"result": "JSON string with 8 testimonial questions",
"pathname": "/generate-testimonial-questions"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 21 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/analyze-review-velocity",
"mimeType": "application/json",
"description": "Analyze review velocity signals for a product or business. Returns a velocity score, sentiment trend, and response recommendations."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "product reviews for an AI coding assistant"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "product reviews for an AI coding assistant"
}
},
"output": {
"type": "json",
"example": {
"query": "product reviews for an AI coding assistant",
"result": "JSON string with velocity score, sentiment trend, recommendations",
"pathname": "/analyze-review-velocity"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 22 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "60000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/generate-content-calendar",
"mimeType": "application/json",
"description": "Generate a 30-day content calendar. Returns daily content themes, post types, and a posting schedule."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "AI agent economy publication"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "AI agent economy publication"
}
},
"output": {
"type": "json",
"example": {
"query": "AI agent economy publication",
"result": "JSON string with daily themes, post types, posting schedule",
"pathname": "/generate-content-calendar"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Captured payload 23 of 23
{
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x2b6c16fb557291b98222a570526ff2430848b723",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.gigsoul.com/predict-viral-potential",
"mimeType": "application/json",
"description": "Score the viral potential of content. Returns a virality score with breakdown by emotion, specificity, novelty, and shareability, plus a platform recommendation."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"context": "headline: AI agents just got their own money"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"queryParams": {
"query": "headline: AI agents just got their own money"
}
},
"output": {
"type": "json",
"example": {
"query": "headline: AI agents just got their own money",
"result": "JSON string with virality score, breakdown, platform recommendation",
"pathname": "/predict-viral-potential"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Alias of context"
},
"content": {
"type": "string",
"description": "Alias of context"
},
"context": {
"type": "string",
"description": "Input text, topic, or pasted content"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Alias of query"
},
"query": {
"type": "string",
"description": "Topic or input (alternative to body)"
}
}
}
}
},
"output": {
"type": "object"
}
}
}
}
},
"x402Version": 2
}Can I trust it score from our own monitoring
score from our own monitoring
85/100 Solid
#107 of 222 in AI. Bands: strong 93+, solid 75+, mixed 55+, weak below 55.
- Reliability
- 100% uptime 30d
- Compliance
- A 14/14 checks pass
- Price
- $0.04 to $0.10 p73 in AI
- 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 2026-09-21. Last up 2026-11-05.
── 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 30d, 174ms response p95, x402 compliance 14 of 14, $0.04 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 AI, 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 222 listings, this one among them: the same 222 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
Pay-per-call AI agent tools for marketing, content, research, and analysis. 23 endpoints ($0.04-$0.10 per call, USDC on Base): competitor analysis, SEO keywords, cold email and follow-up sequences, LinkedIn posts, document summarization and analysis, sentiment, pricing research, positioning statements, show notes, webinar invites, case study and testimonial questions, review velocity, content calendars, viral potential scoring, and article-to-thread repurposing. Manifest at /.well-known/x402, OpenAPI 3.1 at /openapi.json.
GigSoul x402 API is a listed x402 AI 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: 2026-10-07 to 2026-11-05 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 · AI
- uptime · latest daily rollup
- 100%
- uptime 7d
- 99.8%
- uptime 30d
- 100%
- uptime 90d
- 100%
- response p95
- 174ms
- avg response
- 116ms
- total checks
- 3,604
Measured on the unpaid 402 handshake, not the paid call. A service can 402 correctly and still fail after payment.
- price (min)
- $0.04
- price (max)
- $0.10
- category percentile (min)
- p73 in AI
- category percentile (max)
- p56 in AI
- endpoints / prices
- 23 / 4
- 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
- 4987d
- registrar
- Squarespace Domains LLC
- hosting
- custom
- domain created
- 2013-03-08
Identity facts, not a risk score.
- assessment volume 30d
- $0.00
- exact assessment volume 30d (USD)
- 0
- assessment recorded at (UTC)
- 2026-11-05T15:25:04.040Z
- 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
- 2026-09-21
Recent checks
| Checked at (UTC) | Status | HTTP | Response | Endpoints |
|---|---|---|---|---|
| Online | 402 | 125ms | 23 | |
| Online | 402 | 83ms | 23 | |
| Online | 402 | 82ms | 23 | |
| Online | 402 | 49ms | 23 | |
| Online | 402 | 85ms | 23 | |
| Online | 402 | 98ms | 23 | |
| Online | 402 | 80ms | 23 | |
| Online | 402 | 112ms | 23 | |
| Online | 402 | 157ms | 23 | |
| Online | 402 | 144ms | 23 | |
| Online | 402 | 62ms | 23 | |
| Online | 402 | 35ms | 23 | |
| Online | 402 | 46ms | 23 | |
| Online | 402 | 31ms | 23 | |
| Online | 402 | 35ms | 23 | |
| Online | 402 | 29ms | 23 | |
| Online | 402 | 38ms | 23 | |
| Online | 402 | 40ms | 23 |
Changes0 in 30d
No changes recorded in the last 30 days.
Over time
On-chain volume daily snapshots, USD 30d: $0.00
volume no data in the payload
Distinct buyers per dayDistinct buyers per day
Uptime 1 of 29 completed days below 100%
uptime below 100%, to scale
- Volume 30d
- $0.00
- Uptime
- 1 of 29 completed days below 100%
More charts
Response time daily average, ms min 73ms, avg 108ms, max 208ms
10-07 to 11-05* UTC
Scores over time
x402 compliance low 14/14, high 14/14
10-07 to 11-05* UTC
Price percentile in AI own low to high; exact values below
10-07 to 11-05* UTC
Site signals present (of 6) own low to high; exact values below
10-07 to 11-05* UTC
Scores: one day per column, 10-07 to 11-05*, on the columns of Response time. Uptime held below 100% on some days in this window, including any partial day. Daily readings remain in the Uptime strip and Values. The checklist grew from 11 to 14 checks on 2026-07-28, before this window. Pillar lines use their own low and high. Exact dated readings are available in each readout and in Values.
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, no volume data in the last 30d. 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: 2026-10-07 to 2026-11-05 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-10-07 | no data | no data | no data | 100% | 124.46ms | 14/14 | p71 | 4/6 |
| 2026-10-08 | no data | no data | no data | 100% | 208.02ms | 14/14 | p71 | 4/6 |
| 2026-10-09 | no data | no data | no data | 100% | 178.02ms | 14/14 | p71 | 4/6 |
| 2026-10-10 | no data | no data | no data | 100% | 147.41ms | 14/14 | p71 | 4/6 |
| 2026-10-11 | no data | no data | no data | 100% | 155.14ms | 14/14 | p71 | 4/6 |
| 2026-10-12 | no data | no data | no data | 100% | 85.38ms | 14/14 | p71 | 4/6 |
| 2026-10-13 | no data | no data | no data | 100% | 120.29ms | 14/14 | p71 | 4/6 |
| 2026-10-14 | no data | no data | no data | 100% | 97.16ms | 14/14 | p73 | 4/6 |
| 2026-10-15 | no data | no data | no data | 100% | 90.08ms | 14/14 | p73 | 4/6 |
| 2026-10-16 | no data | no data | no data | 100% | 82.61ms | 14/14 | p73 | 4/6 |
| 2026-10-17 | no data | no data | no data | 100% | 90.80ms | 14/14 | p73 | 4/6 |
| 2026-10-18 | no data | no data | no data | 100% | 135.74ms | 14/14 | p73 | 2/6 |
| 2026-10-19 | no data | no data | no data | 100% | 95.56ms | 14/14 | p73 | 2/6 |
| 2026-10-20 | no data | no data | no data | 100% | 106.07ms | 14/14 | p73 | 2/6 |
| 2026-10-21 | no data | no data | no data | 100% | 150.22ms | 14/14 | p73 | 2/6 |
| 2026-10-22 | no data | no data | no data | 100% | 88.54ms | 14/14 | p73 | 2/6 |
| 2026-10-23 | no data | no data | no data | 100% | 84.90ms | 14/14 | p73 | 2/6 |
| 2026-10-24 | no data | no data | no data | 100% | 85.90ms | 14/14 | p73 | 2/6 |
| 2026-10-25 | no data | no data | no data | 100% | 105.62ms | 14/14 | p73 | 2/6 |
| 2026-10-26 | no data | no data | no data | 100% | 105.78ms | 14/14 | p73 | 2/6 |
| 2026-10-27 | no data | no data | no data | 100% | 94.12ms | 14/14 | p73 | 2/6 |
| 2026-10-28 | no data | no data | no data | 100% | 79.18ms | 14/14 | p74 | 2/6 |
| 2026-10-29 | no data | no data | no data | 100% | 85.11ms | 14/14 | p74 | 2/6 |
| 2026-10-30 | no data | no data | no data | 100% | 77.81ms | 14/14 | p74 | 2/6 |
| 2026-10-31 | no data | no data | no data | 100% | 73.03ms | 14/14 | p74 | 2/6 |
| 2026-11-01 | no data | no data | no data | 100% | 102.72ms | 14/14 | p74 | 2/6 |
| 2026-11-02 | no data | no data | no data | 98.86% | 105.77ms | 14/14 | p74 | 2/6 |
| 2026-11-03 | no data | no data | no data | 100% | 110.43ms | 14/14 | p74 | 2/6 |
| 2026-11-04 | no data | no data | no data | 100% | 75.74ms | 14/14 | p74 | 2/6 |
| 2026-11-05* | no data | no data | no data | 100% | 87.21ms | 14/14 | p73 | 2/6 |
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