x402 List

x402 Protocol Service Directory

Chelsea Hermes Agent Tools

Data PAYMENT-READY

payment-ready until 2026-09-28

Rule-based (no LLM) agent APIs with x402 micropayments on Base. Code security scanner (findings with severity, line, rule and fix), travel quote and itinerary builder, and a trip planner with live geocoding, weather, places and routing from OpenStreetMap, Open-Meteo and OSRM.

Pay from $0.01 to $0.02 per request in USDC on Base, settled onchain via the x402 protocol, no signup, no API key needed.

listed 2026-09-21 · no on-chain settlement recorded yet

BASE URL https://fachada.chelsea-hermes.workers.dev WEBSITE https://fachada.chelsea-hermes.workers.dev ENDPOINTS 12 NETWORK Base ASSET USDC MEMBER SINCE 2026-09-21 MONITORED SINCE 2026-09-21

VERDICT

ranking generation 3

solid 79/100 #243 of 317 in Data by measured score

What the score read on this service: status degraded, 100% uptime 24h (no 30d window yet), 188ms response p95, x402 compliance 13 of 13, $0.01 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.

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 317 listings, this one among them. That set is wider than the 317 the position above is counted against, 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.

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.

ALTERNATIVES IN DATA

Other Data services in this directory, ordered by the same measured score. The figures are ours: 30-day uptime from our own probes, 30-day settlement volume read on-chain (a conservative undercount, and null where we cannot measure it, never a zero).

Ranked alternative x402 services in the same category, with band, measured score, 30-day uptime and 30-day on-chain settlement volume
SERVICE BAND SCORE UPTIME 30D VOL 30D
glim.sh strong 96 100% $48.79
SniperX•x402 strong 95 100% $362.01
StableEnrich strong 95 100% $1.9k
cn402 strong 94 100% $36.62
API Acre solid 92 99.5% $31.95
5 of 316 other ranked services in Data · see the whole category

ASSESSMENT

updated 1h ago

The parts the verdict above is computed from, each with its proof. Click any chip. Measured values stay read-only; unknown is honest, and an unknown is never counted as a zero.

reliability 100%
uptime 24h
-
uptime 7d
-
uptime 30d
-
uptime 90d
-
response p95
188ms
avg response
188ms
total checks
1

Measured on the unpaid 402 handshake, not the paid call. A service can 402 correctly and still fail after payment.

compliance A (13/13)

13 of 13 x402 conformance checks pass. Full checklist below.

jump to compliance checklist

price $0.01 to $0.02 (p59 in Data)
price (min)
$0.01
price (max)
$0.02
category percentile (min)
p59 in Data
category percentile (max)
p41 in Data
endpoints / prices
9 / 2
model
tiered
stability
100%
risk clean

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
-
registrar
-
hosting
free host
domain created
---

Identity facts, not a risk score.

traction $0.00 30d · 0 buyers
volume 30d
$0.00
buyers 30d
0
settlements 30d
0
measured since
--- (start of our harvest window)
last settlement
---
top buyer share
-
trend 7d vs 30d
-
networks
eip155:8453
volume all-time
$0
settlements all-time
0
median settlement 30d
-
max settlement 30d
-
settled via
-

Conservative undercount: only USDC settlements via facilitators we measure are counted. A measured floor, not an estimate.

Top buyer share is a concentration signal, not part of the ranking score.

WHAT IT DOES

ai-derived

No AI synthesis has been produced for this service yet.

ENDPOINTS

Service endpoints with HTTP method, path, description, pricing, and network
METHOD PATH DESCRIPTION PRICE NETWORK ASSET 402 CHANNEL
GET /scan/health --- USDC -
GET /scan/v1/code/rules Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a $0.01 Base USDC header
GET /scan/v1/code/scan Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a $0.01 Base USDC header
GET /travel/health --- USDC -
GET /travel/v1/travel/itinerary Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages. $0.02 Base USDC header
GET /travel/v1/travel/parse-request Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages. $0.02 Base USDC header
GET /travel/v1/travel/quote Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages. $0.02 Base USDC header
GET /trip/health --- USDC -
GET /trip/v1/clima Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM. $0.02 Base USDC header
GET /trip/v1/como-llegar Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM. $0.02 Base USDC header
GET /trip/v1/lugar Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM. $0.02 Base USDC header
GET /trip/v1/plan Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM. $0.02 Base USDC header
12 endpoints

REQUEST / RESPONSE EXAMPLE

An unpaid request to GET /scan/v1/code/rules returns HTTP 402 with the payment terms. Settle onchain via your facilitator, then retry with the X-Payment header.

// request
curl -i 'https://fachada.chelsea-hermes.workers.dev/scan/v1/code/rules'
// 402 response (captured by monitor) · 9 payloads · click to expand
[
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "10000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/scan/v1/code/scan",
        "description": "Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a",
        "maxAmountRequired": "10000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/scan/v1/code/scan",
      "tags": [
        "security",
        "code",
        "static-analysis",
        "sast",
        "python"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a",
      "serviceName": "Code security scan"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "code": "import hashlib\nAPI_KEY = 'sk-live-9f2b7c41a8de5f60b3c2'\ndef h(p):\n    return hashlib.md5(p.encode()).hexdigest()\n",
              "language": "python"
            },
            "type": "http",
            "method": "POST",
            "bodyType": "json",
            "description": "language: python | javascript (how the snippet should be parsed); code: the source code to scan, as plain text"
          },
          "output": {
            "type": "json",
            "example": {
              "risk": "high",
              "total": 2,
              "counts": {
                "high": 1,
                "medium": 1
              },
              "engine": "rule-based-static (no LLM)",
              "findings": [
                {
                  "fix": "move the value into an environment variable and rotate the credential",
                  "line": 2,
                  "rule": "hardcoded-secret",
                  "issue": "hardcoded credential",
                  "evidence": "API_KEY = 'sk-liv...b3c2'",
                  "severity": "high"
                },
                {
                  "fix": "use sha256 or stronger (and a salt for passwords)",
                  "line": 4,
                  "rule": "weak-hash",
                  "issue": "cryptographically weak hash",
                  "evidence": "",
                  "severity": "medium"
                }
              ],
              "language": "python",
              "scope_note": "Static rule-based analysis. Not a formal audit and not a penetration test.",
              "lines_scanned": 4
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "body": {
                  "type": "object"
                },
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ]
                },
                "description": {
                  "type": "string"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "10000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/scan/v1/code/rules",
        "description": "Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a",
        "maxAmountRequired": "10000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/scan/v1/code/rules",
      "tags": [
        "security",
        "code",
        "static-analysis",
        "sast",
        "python"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Static security scan of a code snippet. Finds hardcoded secrets (AWS keys, private keys, API keys, DB connection strings with passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. Returns one entry per finding with rule, severity, exact line number, the offending line and a suggested fix. Rule-based and deterministic: no LLM, so the same snippet always returns the same findings. Send Python or JavaScript as plain text. Not a",
      "serviceName": "Code security scan"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "code": "import hashlib\nAPI_KEY = 'sk-live-9f2b7c41a8de5f60b3c2'\ndef h(p):\n    return hashlib.md5(p.encode()).hexdigest()\n",
              "language": "python"
            },
            "type": "http",
            "method": "POST",
            "bodyType": "json",
            "description": "language: python | javascript (how the snippet should be parsed); code: the source code to scan, as plain text"
          },
          "output": {
            "type": "json",
            "example": {
              "risk": "high",
              "total": 2,
              "counts": {
                "high": 1,
                "medium": 1
              },
              "engine": "rule-based-static (no LLM)",
              "findings": [
                {
                  "fix": "move the value into an environment variable and rotate the credential",
                  "line": 2,
                  "rule": "hardcoded-secret",
                  "issue": "hardcoded credential",
                  "evidence": "API_KEY = 'sk-liv...b3c2'",
                  "severity": "high"
                },
                {
                  "fix": "use sha256 or stronger (and a salt for passwords)",
                  "line": 4,
                  "rule": "weak-hash",
                  "issue": "cryptographically weak hash",
                  "evidence": "",
                  "severity": "medium"
                }
              ],
              "language": "python",
              "scope_note": "Static rule-based analysis. Not a formal audit and not a penetration test.",
              "lines_scanned": 4
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "body": {
                  "type": "object"
                },
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ]
                },
                "description": {
                  "type": "string"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/parse-request",
        "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/parse-request",
      "tags": [
        "travel",
        "agency",
        "parsing",
        "operations"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
      "serviceName": "Travel request parsing"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "Hola, somos 2 adultos y 1 nino, queremos 3 noches en Cartagena del 20 al 23 de diciembre, presupuesto 3000 dolares, nos gusta la playa"
            },
            "type": "http",
            "method": "POST",
            "bodyType": "json",
            "description": "text: the client's request exactly as it arrived (free text, EN or ES); default_currency: optional ISO code used when the text has no currency"
          },
          "output": {
            "type": "json",
            "example": {
              "adults": 2,
              "budget": 3000,
              "method": "rule-based (regex) - no LLM",
              "nights": 3,
              "missing": [],
              "check_in": "2026-12-20",
              "children": 1,
              "currency": "USD",
              "check_out": "2026-12-23",
              "interests": [
                "beach"
              ],
              "confidence": 1,
              "destination": "cartagena"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "body": {
                  "type": "object"
                },
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ]
                },
                "description": {
                  "type": "string"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/quote",
        "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/quote",
      "tags": [
        "travel",
        "agency",
        "parsing",
        "operations"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
      "serviceName": "Travel request parsing"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "Hola, somos 2 adultos y 1 nino, queremos 3 noches en Cartagena del 20 al 23 de diciembre, presupuesto 3000 dolares, nos gusta la playa"
            },
            "type": "http",
            "method": "POST",
            "bodyType": "json",
            "description": "text: the client's request exactly as it arrived (free text, EN or ES); default_currency: optional ISO code used when the text has no currency"
          },
          "output": {
            "type": "json",
            "example": {
              "adults": 2,
              "budget": 3000,
              "method": "rule-based (regex) - no LLM",
              "nights": 3,
              "missing": [],
              "check_in": "2026-12-20",
              "children": 1,
              "currency": "USD",
              "check_out": "2026-12-23",
              "interests": [
                "beach"
              ],
              "confidence": 1,
              "destination": "cartagena"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "body": {
                  "type": "object"
                },
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ]
                },
                "description": {
                  "type": "string"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/itinerary",
        "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/itinerary",
      "tags": [
        "travel",
        "agency",
        "parsing",
        "operations"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Turns a travel request written as free text (WhatsApp, email, form) into structured fields a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and the list of what is still missing before quoting. Rule-based and deterministic, no LLM: same message, same result. Accepts English and Spanish text with accents. Built for agencies that receive requests as chat messages.",
      "serviceName": "Travel request parsing"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "Hola, somos 2 adultos y 1 nino, queremos 3 noches en Cartagena del 20 al 23 de diciembre, presupuesto 3000 dolares, nos gusta la playa"
            },
            "type": "http",
            "method": "POST",
            "bodyType": "json",
            "description": "text: the client's request exactly as it arrived (free text, EN or ES); default_currency: optional ISO code used when the text has no currency"
          },
          "output": {
            "type": "json",
            "example": {
              "adults": 2,
              "budget": 3000,
              "method": "rule-based (regex) - no LLM",
              "nights": 3,
              "missing": [],
              "check_in": "2026-12-20",
              "children": 1,
              "currency": "USD",
              "check_out": "2026-12-23",
              "interests": [
                "beach"
              ],
              "confidence": 1,
              "destination": "cartagena"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "body": {
                  "type": "object"
                },
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ]
                },
                "description": {
                  "type": "string"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/trip/v1/plan",
        "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/trip/v1/plan",
      "tags": [
        "travel",
        "places",
        "weather",
        "routes",
        "osm"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
      "serviceName": "Trip research planner"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "description": "destino: destination as free text; a region or country helps disambiguate; dias: how many days of the plan you want (default 3); desde: optional start date YYYY-MM-DD, used for the weather window; origen: optional origin to compute the driving route and distance",
            "queryParams": {
              "dias": "3",
              "destino": "Madikeri, India"
            }
          },
          "output": {
            "type": "json",
            "example": {
              "clima": {
                "dias": [
                  {
                    "cielo": "chubascos",
                    "fecha": "2026-09-20",
                    "max_c": 25.1,
                    "min_c": 18.9,
                    "lluvia_mm": 4.6
                  }
                ],
                "fuente": "Open-Meteo",
                "disponible": true
              },
              "destino": {
                "lat": 12.42149,
                "lon": 75.7387543,
                "pais": "India",
                "pedido": "Madikeri, India",
                "ubicado": "Madikeri, Kodagu, Karnataka, 571201, India"
              },
              "fuentes": [
                "OpenStreetMap (Nominatim/Overpass)",
                "Open-Meteo",
                "OSRM"
              ],
              "alrededor": {
                "avisos": [
                  "Overpass no respondio para: comida (si falla una fuente, se dice aqui en vez de inventar el dato)"
                ],
                "grupos": {
                  "pagos": [],
                  "comida": [],
                  "cripto": [],
                  "hoteles": [
                    {
                      "lat": 12.4217,
                      "lon": 75.7392,
                      "web": null,
                      "pago": {},
                      "tipo": "hotel",
                      "rango": "hotel",
                      "cocina": null,
                      "nombre": "Hotel Coorg",
                      "telefono": null,
                      "direccion": null,
                      "estrellas": "3"
                    }
                  ],
                  "transporte": []
                },
                "nota_precios": "OpenStreetMap NO publica precios: el 'rango' sale del tipo de alojamiento, no de la tarifa."
              },
              "como_moverse": [
                {
                  "modo": "carro",
                  "desde": "origen dado",
                  "horas": 7.9,
                  "fuente": "OSRM",
                  "distancia_km": 412.7
                }
              ],
              "pagos_y_cripto": {
                "cajeros_y_bancos": [],
                "acepta_cripto_declarado": []
              }
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "description": {
                  "type": "string"
                },
                "queryParams": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/trip/v1/lugar",
        "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/trip/v1/lugar",
      "tags": [
        "travel",
        "places",
        "weather",
        "routes",
        "osm"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
      "serviceName": "Trip research planner"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "description": "destino: destination as free text; a region or country helps disambiguate; dias: how many days of the plan you want (default 3); desde: optional start date YYYY-MM-DD, used for the weather window; origen: optional origin to compute the driving route and distance",
            "queryParams": {
              "dias": "3",
              "destino": "Madikeri, India"
            }
          },
          "output": {
            "type": "json",
            "example": {
              "clima": {
                "dias": [
                  {
                    "cielo": "chubascos",
                    "fecha": "2026-09-20",
                    "max_c": 25.1,
                    "min_c": 18.9,
                    "lluvia_mm": 4.6
                  }
                ],
                "fuente": "Open-Meteo",
                "disponible": true
              },
              "destino": {
                "lat": 12.42149,
                "lon": 75.7387543,
                "pais": "India",
                "pedido": "Madikeri, India",
                "ubicado": "Madikeri, Kodagu, Karnataka, 571201, India"
              },
              "fuentes": [
                "OpenStreetMap (Nominatim/Overpass)",
                "Open-Meteo",
                "OSRM"
              ],
              "alrededor": {
                "avisos": [
                  "Overpass no respondio para: comida (si falla una fuente, se dice aqui en vez de inventar el dato)"
                ],
                "grupos": {
                  "pagos": [],
                  "comida": [],
                  "cripto": [],
                  "hoteles": [
                    {
                      "lat": 12.4217,
                      "lon": 75.7392,
                      "web": null,
                      "pago": {},
                      "tipo": "hotel",
                      "rango": "hotel",
                      "cocina": null,
                      "nombre": "Hotel Coorg",
                      "telefono": null,
                      "direccion": null,
                      "estrellas": "3"
                    }
                  ],
                  "transporte": []
                },
                "nota_precios": "OpenStreetMap NO publica precios: el 'rango' sale del tipo de alojamiento, no de la tarifa."
              },
              "como_moverse": [
                {
                  "modo": "carro",
                  "desde": "origen dado",
                  "horas": 7.9,
                  "fuente": "OSRM",
                  "distancia_km": 412.7
                }
              ],
              "pagos_y_cripto": {
                "cajeros_y_bancos": [],
                "acepta_cripto_declarado": []
              }
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "description": {
                  "type": "string"
                },
                "queryParams": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/trip/v1/clima",
        "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/trip/v1/clima",
      "tags": [
        "travel",
        "places",
        "weather",
        "routes",
        "osm"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
      "serviceName": "Trip research planner"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "description": "destino: destination as free text; a region or country helps disambiguate; dias: how many days of the plan you want (default 3); desde: optional start date YYYY-MM-DD, used for the weather window; origen: optional origin to compute the driving route and distance",
            "queryParams": {
              "dias": "3",
              "destino": "Madikeri, India"
            }
          },
          "output": {
            "type": "json",
            "example": {
              "clima": {
                "dias": [
                  {
                    "cielo": "chubascos",
                    "fecha": "2026-09-20",
                    "max_c": 25.1,
                    "min_c": 18.9,
                    "lluvia_mm": 4.6
                  }
                ],
                "fuente": "Open-Meteo",
                "disponible": true
              },
              "destino": {
                "lat": 12.42149,
                "lon": 75.7387543,
                "pais": "India",
                "pedido": "Madikeri, India",
                "ubicado": "Madikeri, Kodagu, Karnataka, 571201, India"
              },
              "fuentes": [
                "OpenStreetMap (Nominatim/Overpass)",
                "Open-Meteo",
                "OSRM"
              ],
              "alrededor": {
                "avisos": [
                  "Overpass no respondio para: comida (si falla una fuente, se dice aqui en vez de inventar el dato)"
                ],
                "grupos": {
                  "pagos": [],
                  "comida": [],
                  "cripto": [],
                  "hoteles": [
                    {
                      "lat": 12.4217,
                      "lon": 75.7392,
                      "web": null,
                      "pago": {},
                      "tipo": "hotel",
                      "rango": "hotel",
                      "cocina": null,
                      "nombre": "Hotel Coorg",
                      "telefono": null,
                      "direccion": null,
                      "estrellas": "3"
                    }
                  ],
                  "transporte": []
                },
                "nota_precios": "OpenStreetMap NO publica precios: el 'rango' sale del tipo de alojamiento, no de la tarifa."
              },
              "como_moverse": [
                {
                  "modo": "carro",
                  "desde": "origen dado",
                  "horas": 7.9,
                  "fuente": "OSRM",
                  "distancia_km": 412.7
                }
              ],
              "pagos_y_cripto": {
                "cajeros_y_bancos": [],
                "acepta_cripto_declarado": []
              }
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "description": {
                  "type": "string"
                },
                "queryParams": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "payment required",
    "accepts": [
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "mimeType": "application/json",
        "resource": "https://fachada.chelsea-hermes.workers.dev/trip/v1/como-llegar",
        "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
        "maxAmountRequired": "20000",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://fachada.chelsea-hermes.workers.dev/trip/v1/como-llegar",
      "tags": [
        "travel",
        "places",
        "weather",
        "routes",
        "osm"
      ],
      "iconUrl": "https://fachada.chelsea-hermes.workers.dev/icono.png",
      "mimeType": "application/json",
      "description": "Researches a destination and returns one ready JSON plan from free, no-key sources: the geocoded place, up to 16 days of weather, the driving route and distance from your origin, and what is around (hotels, food, transport, ATMs, payment spots, crypto). Call it when you need current ground truth about somewhere you are about to travel, instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo and OSRM. Rule-based, no LLM.",
      "serviceName": "Trip research planner"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "description": "destino: destination as free text; a region or country helps disambiguate; dias: how many days of the plan you want (default 3); desde: optional start date YYYY-MM-DD, used for the weather window; origen: optional origin to compute the driving route and distance",
            "queryParams": {
              "dias": "3",
              "destino": "Madikeri, India"
            }
          },
          "output": {
            "type": "json",
            "example": {
              "clima": {
                "dias": [
                  {
                    "cielo": "chubascos",
                    "fecha": "2026-09-20",
                    "max_c": 25.1,
                    "min_c": 18.9,
                    "lluvia_mm": 4.6
                  }
                ],
                "fuente": "Open-Meteo",
                "disponible": true
              },
              "destino": {
                "lat": 12.42149,
                "lon": 75.7387543,
                "pais": "India",
                "pedido": "Madikeri, India",
                "ubicado": "Madikeri, Kodagu, Karnataka, 571201, India"
              },
              "fuentes": [
                "OpenStreetMap (Nominatim/Overpass)",
                "Open-Meteo",
                "OSRM"
              ],
              "alrededor": {
                "avisos": [
                  "Overpass no respondio para: comida (si falla una fuente, se dice aqui en vez de inventar el dato)"
                ],
                "grupos": {
                  "pagos": [],
                  "comida": [],
                  "cripto": [],
                  "hoteles": [
                    {
                      "lat": 12.4217,
                      "lon": 75.7392,
                      "web": null,
                      "pago": {},
                      "tipo": "hotel",
                      "rango": "hotel",
                      "cocina": null,
                      "nombre": "Hotel Coorg",
                      "telefono": null,
                      "direccion": null,
                      "estrellas": "3"
                    }
                  ],
                  "transporte": []
                },
                "nota_precios": "OpenStreetMap NO publica precios: el 'rango' sale del tipo de alojamiento, no de la tarifa."
              },
              "como_moverse": [
                {
                  "modo": "carro",
                  "desde": "origen dado",
                  "horas": 7.9,
                  "fuente": "OSRM",
                  "distancia_km": 412.7
                }
              ],
              "pagos_y_cripto": {
                "cajeros_y_bancos": [],
                "acepta_cripto_declarado": []
              }
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "description": {
                  "type": "string"
                },
                "queryParams": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "json"
                },
                "example": {
                  "type": "object"
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    },
    "x402Version": 2
  }
]

OVER TIME

All charts use the 24h selector; each series spans only the dates it has data for. Every series is also served as JSON at /api/v1/services/chelsea-hermes-agent-tools/price, /scores, /volume and /buyers. On-chain volume and distinct buyers are measured over the service's settlement address and are a conservative undercount (only settlements that reach a measured facilitator are counted). The on-chain series roll up hourly, so the latest day can be up to about an hour behind; distinct buyers are counted per payout address, so a service that settles to more than one address is an upper bound.

UPTIME
09-21 · uptime 100.0% · 176ms avg09-2109-21
24h UPTIME 100%
RESPONSE TIME
09-21 · 176ms avg09-21 · 176ms avg09-2109-21
AVG RESP 180ms
PRICE (captured 402, USD)
building price history ($0.02)

Median across 9 endpoints. Use the selector to isolate one.

SUB-SCORES (uptime + x402 compliance)
building assessment history (1 day so far)

checklist grew 11->14 on 2026-07-28; a step here is a metric change, not a regression

VOLUME (on-chain settlement, USD)
no on-chain volume yet
DISTINCT BUYERS
no distinct buyers yet

COMPLIANCE

13/13 checks pass · grade A

last 402 captured 2026-09-21 · last up 2026-09-21

  • 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

SITE PILLARS

  • homepage reachable
  • openapi doc
  • pricing page
  • llms.txt
  • robots.txt
  • terms page
recent checks (6) live · click to expand
TIME STATUS RESP CAUSE
● OK 195ms
● OK 184ms
● OK 182ms
● OK 151ms
● OK 182ms
● OK 188ms

EMBED THIS BADGE

Show that Chelsea Hermes Agent Tools is monitored on x402-list. Paste this on your site or README, it links back to this live listing.

Chelsea Hermes Agent Tools listed on x402-list
status
Chelsea Hermes Agent Tools uptime on x402-list
live uptime
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<a href="https://x402-list.com/services/chelsea-hermes-agent-tools?utm_source=badge&utm_medium=referral&utm_campaign=embed">
  <img src="https://x402-list.com/badge/chelsea-hermes-agent-tools.svg" alt="Chelsea Hermes Agent Tools listed on x402-list" height="28">
</a>
// Markdown
[![Chelsea Hermes Agent Tools on x402-list](https://x402-list.com/badge/chelsea-hermes-agent-tools.svg)](https://x402-list.com/services/chelsea-hermes-agent-tools?utm_source=badge&utm_medium=referral&utm_campaign=embed)
// HTML · live uptime variant
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</a>

RUN THIS SERVICE?

Keep this listing accurate: propose changes to the name, description, website, category or add new endpoints to monitor. Ownership is verified with a domain proof and every change is reviewed manually; measured data stays read-only.

[ update this listing ]

Earn the verified tier: x402list pays a real call to this endpoint and, if it delivers, the service is delivery-verified. The fee covers the cost of the probe, not the badge; there is no refund if the call does not deliver. Agent and API only, no in-browser signing. See /api.

[ verify this service ($0.25) ]

To request delisting, email info@x402-list.com or update your listing at /services/chelsea-hermes-agent-tools/update.