Chelsea Hermes Agent Tools

payment-readydegraded

payment-ready until 2026-11-12

Rule-based (no LLM) agent APIs with x402 micropayments on Base.

Compare: all weather APIs · all geocoding APIs

fachada.chelsea-hermes.workers.dev ↗

Call it x402 v2

x402 v2

Base URL: https://fachada.chelsea-hermes.workers.dev
Payment: x402 v2

$ curl -i 'https://fachada.chelsea-hermes.workers.dev/scan/health'

An unpaid request returns HTTP 402 with the payment terms. Sign a payment authorization, then retry with the PAYMENT-SIGNATURE header.

Endpoints 12 paid routes on fachada.chelsea-hermes.workers.dev

GET/scan/health-----

GET/scan/v1/code/rulesBase$1.00since 09-21

GET/scan/v1/code/scanBase$1.00since 09-21

GET/travel/health-----

GET/travel/v1/travel/itineraryBase$3.00since 09-21

GET/travel/v1/travel/parse-requestBase$3.00since 09-21

GET/travel/v1/travel/quoteBase$3.00since 09-21

GET/trip/health-----

4 more in Example 402 response

Prices as captured in the 402 response: median $3.00 across the 9 endpoints.

Example 402 response

Endpoints and prices

Current paid endpoints; minimum quoted prices in USD where available; first capture dates in UTC
Method	Path	Description	Price	Network	Asset	402 channel	Captured
GET	/scan/health	No description	---	-	not captured	not captured	-
GET	/scan/v1/code/rules	Security audit of a code snippet: static scan for hardcoded secrets (AWS, API and private keys, DB passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. One entry per finding with rule, severity, exact line number and a suggested fix. Rule-based, no LLM: same snippet, same findings. Send Python or JavaScript as text. Use it as a code review or vulnerability scanner for AI-generated code before shipping. Not a formal audit.	$1.00	Base	USDC	header	since 09-21
GET	/scan/v1/code/scan	Security audit of a code snippet: static scan for hardcoded secrets (AWS, API and private keys, DB passwords), eval/exec, command injection, HTTP calls with no timeout, weak hashes (md5/sha1), bare except and unverified JWT. One entry per finding with rule, severity, exact line number and a suggested fix. Rule-based, no LLM: same snippet, same findings. Send Python or JavaScript as text. Use it as a code review or vulnerability scanner for AI-generated code before shipping. Not a formal audit.	$1.00	Base	USDC	header	since 09-21
GET	/travel/health	No description	---	-	not captured	not captured	-
GET	/travel/v1/travel/itinerary	Turns a travel request written as free text (WhatsApp, email, form) into structured JSON a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and what is still missing before quoting. Rule-based, no LLM: same message, same result. English and Spanish. For travel agencies, tour operators and agents turning a hotel, flight or itinerary request into clean JSON.	$3.00	Base	USDC	header	since 09-21
GET	/travel/v1/travel/parse-request	Turns a travel request written as free text (WhatsApp, email, form) into structured JSON a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and what is still missing before quoting. Rule-based, no LLM: same message, same result. English and Spanish. For travel agencies, tour operators and agents turning a hotel, flight or itinerary request into clean JSON.	$3.00	Base	USDC	header	since 09-21
GET	/travel/v1/travel/quote	Turns a travel request written as free text (WhatsApp, email, form) into structured JSON a back office can act on: destination, check-in and check-out dates, nights, adults, children, budget, currency, interests, and what is still missing before quoting. Rule-based, no LLM: same message, same result. English and Spanish. For travel agencies, tour operators and agents turning a hotel, flight or itinerary request into clean JSON.	$3.00	Base	USDC	header	since 09-21
GET	/trip/health	No description	---	-	not captured	not captured	-
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, crypto). Call it for current ground truth about a place instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo, OSRM. Rule-based, no LLM. Travel planning and itinerary generation in one call.	$3.00	Base	USDC	header	since 09-21
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, crypto). Call it for current ground truth about a place instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo, OSRM. Rule-based, no LLM. Travel planning and itinerary generation in one call.	$3.00	Base	USDC	header	since 09-21
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, crypto). Call it for current ground truth about a place instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo, OSRM. Rule-based, no LLM. Travel planning and itinerary generation in one call.	$3.00	Base	USDC	header	since 09-21
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, crypto). Call it for current ground truth about a place instead of guessing. Sources: OpenStreetMap, Overpass, Open-Meteo, OSRM. Rule-based, no LLM. Travel planning and itinerary generation in one call.	$3.00	Base	USDC	header	since 09-21

Payment evidence

402 payload captured at 2026-10-13 15:20:06 UTC. Check evidence JSON · Measurement methodology.

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Other captured 402 responses (8)

Captured payload 2 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "1000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 3 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 4 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 5 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 6 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 7 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "1000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 8 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Captured payload 9 of 9

{
  "error": "payment required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x734DD50Abb63ea5Af3D92b8016825475694BD883",
      "amount": "3000000",
      "scheme": "exact",
      "network": "eip155:8453",
      "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
}

Can I trust it score from our own monitoring

score from our own monitoring

73/100 Mixed

                           │         │········│···
0                          55        75       93

                │     │····│··
0               55    75   93

#441 of 472 in Data. Bands: strong 93+, solid 75+, mixed 55+, weak below 55.

Reliability: 94.2% uptime 30d
Compliance: A 13/13 checks pass
Price: $1.00 to $3.00 p98 in Data
Risk: clean no risk flag
Traction: $0.50 30d 1 buyers, top buyer 100% (address, not entity)
Last change: schema changed 23d ago 1 in 30d

13/13 compliance checks

402 payload captured
accepts[] array present
payTo address recoverable
payTo at accepts[0].payTo (conformant shape)
payTo is a valid on-chain address
atomic price declared
atomic price in a sane range
asset (token) address declared
network resolves to CAIP-2
payment scheme declared
served over HTTPS
declares the current x402 version (2)
EIP-712 domain parameters present on every EVM entry
x402 v2 envelope delivered in the payment-required header

402 terms unchanged since 2026-10-13. 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 degraded, 94.2% uptime 30d, 681ms response p95, x402 compliance 13 of 13, $1 price against the category, on-chain traction measured. Each of those is measured, and each is published in full below.

The score comes from our own monitoring, never from reviews, operator claims, or a language model: reliability, x402 compliance, price against the category, a deterministic risk flag, and a small on-chain traction term, weighted by ranking generation 3. It is not placement anyone can buy: the paid verify tier is reported beside it and is not one of its inputs. Every component below stays published and read-only.

Bands on the 0 to 100 measured score: strong at 93 and above, solid from 75, mixed from 55, weak below 55. Price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, so the score places a service in its own field.

It is a score inside Data, and only there: price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, which here means 472 listings, this one among them: the same 472 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.

Settled via coinbase ($0.50, 1 tx). Traction is a conservative undercount; first settlement seen 2026-09-20.

All measured facts

What it does

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.

Chelsea Hermes Agent Tools is a listed x402 Data API. Captured payment terms name Base. Monitoring and settlement figures below describe the observations available to this directory; an unpaid HTTP 402 check does not prove that a paid call will deliver.

Assessment computed at 2026-11-05 09:14:01 UTC. Latest service check observed at 2026-11-05 14:48:44 UTC. Service data JSON · Measurement methodology.

Page rendered at 2026-11-05 14:51:14 UTC. This response time is separate from the observation and computation times attached to each measurement.

Latest endpoint observation: 2026-11-05 14:48:44 UTC. Latest price capture: 2026-09-26 23:33:07 UTC. 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 2026-11-05 09:14:01 UTC. 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. Latest settlement in the assessment: 2026-10-22 01:18:31 UTC. Uptime and response JSON · Volume JSON · Buyers JSON · Measurement methodology.

Ranked from the measured category pool, refreshed at most once a minute. The comparison has no persisted computation timestamp; the assessment time above belongs to this service only. Ranking API documentation · Ranking methodology.

x402 List home · Services · Data

uptime · latest daily rollup: 100%
uptime 7d: 98.2%
uptime 30d: 94.2%
uptime 90d: 96.1%
response p95: 681ms
avg response: 303ms
total checks: 3,074

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

price (min): $1.00
price (max): $3.00
category percentile (min): p98 in Data
category percentile (max): p95 in Data
endpoints / prices: 9 / 2
model: tiered
stability: 0%

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.

assessment volume 30d: $0.50
exact assessment volume 30d (USD): 0.5
assessment recorded at (UTC): 2026-11-05T09:14:01.975Z
buyers 30d: 1
settlements 30d: 1
measured since: 2026-09-20 (start of our harvest window)
last settlement: 2026-10-22
top buyer share: 100% of 30d volume (address, not entity)
top 3 buyers share: 100% of 30d volume (addresses, not entities)
concentrated volume: no
trend 7d vs 30d: 4.29x the 30d daily rate
networks: eip155:8453
volume all-time: $8.12
settlements all-time: 13
median settlement 30d: $0.50
max settlement 30d: $0.50

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

Latest 18 unpaid HTTP checks, newest first; response times in milliseconds, observation times in UTC
Checked at (UTC)	Status	HTTP	Response	Endpoints
2026-11-05 14:48:44 UTC	Online	402	297ms	9
2026-11-05 14:32:28 UTC	Online	402	320ms	9
2026-11-05 14:16:30 UTC	Online	402	397ms	9
2026-11-05 14:00:31 UTC	Online	402	294ms	9
2026-11-05 13:44:31 UTC	Online	402	661ms	9
2026-11-05 13:28:27 UTC	Online	402	670ms	9
2026-11-05 13:11:17 UTC	Online	402	250ms	9
2026-11-05 12:55:08 UTC	Online	402	174ms	9
2026-11-05 12:39:08 UTC	Online	402	210ms	9
2026-11-05 12:23:07 UTC	Online	402	217ms	9
2026-11-05 12:06:07 UTC	Online	402	253ms	9
2026-11-05 11:50:07 UTC	Online	402	251ms	9
2026-11-05 11:34:07 UTC	Online	402	215ms	9
2026-11-05 11:18:07 UTC	Online	402	266ms	9
2026-11-05 11:02:04 UTC	Online	402	239ms	9
2026-11-05 10:46:08 UTC	Online	402	330ms	9
2026-11-05 10:30:11 UTC	Online	402	227ms	9
2026-11-05 10:13:12 UTC	Online	402	463ms	9

Changes1 in 30d

Latest 1 recorded changes, up to 10 in the last 30 days; newest first; observation times in UTC
Observed at (UTC)	Change	Evidence
2026-10-13 15:20:06 UTC	schema changed	schema removed `GET /scan/v1/code/rules exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/scan/v1/code/rules {"name":"USD Coin","version":"2"}` schema removed `GET /scan/v1/code/scan exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/scan/v1/code/scan {"name":"USD Coin","version":"2"}` schema removed `GET /travel/v1/travel/itinerary exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/itinerary {"name":"USD Coin","version":"2"}` schema removed `GET /travel/v1/travel/parse-request exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/parse-request {"name":"USD Coin","version":"2"}` schema removed `GET /travel/v1/travel/quote exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/travel/v1/travel/quote {"name":"USD Coin","version":"2"}` schema removed `GET /trip/v1/clima exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/trip/v1/clima {"name":"USD Coin","version":"2"}` schema removed `GET /trip/v1/como-llegar exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/trip/v1/como-llegar {"name":"USD Coin","version":"2"}` schema removed `GET /trip/v1/lugar exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/trip/v1/lugar {"name":"USD Coin","version":"2"}` schema removed `GET /trip/v1/plan exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 application/json 300 https://fachada.chelsea-hermes.workers.dev/trip/v1/plan {"name":"USD Coin","version":"2"}` schema added `GET /scan/v1/code/rules exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /scan/v1/code/scan exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /travel/v1/travel/itinerary exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /travel/v1/travel/parse-request exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /travel/v1/travel/quote exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /trip/v1/clima exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /trip/v1/como-llegar exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /trip/v1/lugar exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}` schema added `GET /trip/v1/plan exact eip155:8453 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 USDC 2 300 {"name":"USD Coin","version":"2"}`

all changes

Over time

On-chain volume daily snapshots, USD 30d: $0.50, peak $23.25 on 11-01

                                                                                  $23.25         
                                                                                  ██             
                                                                               ▂▂ ██             
                                                                               ██ ██             
                                                                               ██ ██             
       ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ▁▁ ·  ·  ·  ·  ·  ·  ·  ·  ██ ██ ·  ▂▂ ·  ·  
    $0

volume no data in the payload

Distinct buyers per dayDistinct buyers per day

        ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  ·  1  ·  ·  ·  ·  ·  ·  ·  ·  1  1  ·  1  ·  ·

Uptime 25 of 29 completed days below 100%

       ▅▅ ▇▇ ▇▇ ▇▇ ▇▇ ██ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▆▆ ▆▆ ▇▇ ▆▆ ▇▇ ██ ▇▇ ██ ▁▁ ░░ ░░ ▇▇ ██ ▇▇ ▇▇ ▇▇ ██

uptime below 100%, to scale uptime 0%

       10-07                                     10-21                                   11-05*

Volume 30d: $0.50
Uptime: 25 of 29 completed days below 100%

Daily on-chain settlement volume in US dollars, 2026-10-07 to 2026-11-05; highest day $23.25 on 11-01; 26 days have no data in the payload; distinct buyers per day

Day    Volume             USD  Buyers
10-07  · no data, 15 days to 10-21
10-22                   $0.50       1
10-23  · no data, 8 days to 10-30
10-31                  $15.00       1
11-01                  $23.25       1
11-02  · no data
11-03                   $1.00       1
11-04  · no data, 2 days to 11-05*

More charts

Response time daily average, ms min 222ms, avg 303ms, max 435ms

       ▅▅ ▆▆ ▅▅ ▅▅ ▆▆ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ██ ▇▇ ▇▇ ▅▅ ▅▅ ▄▄ ▆▆ ▇▇ ▅▅ ▅▅ ▅▅       ▆▆ ▅▅ ▅▅ ▆▆ ▆▆ ▇▇

10-07 to 11-05* UTC

      ▅▆▅▅▆▅▅▅▅▅▅█▇▇▅▅▄▆▇▅▅▅  ▆▅▅▆▆▇

      10-07         10-21     11-05*

Scores over time

x402 compliance low 13/13, high 13/13

       ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄

10-07 to 11-05* UTC

      ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄

      10-07         10-21     11-05*

Price percentile in Data own low to high; exact values below

       ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄ ▄▄

10-07 to 11-05* UTC

      ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄

      10-07         10-21     11-05*

Site signals present (of 6) own low to high; exact values below

       ▁▁ ▁▁ ▁▁ ▁▁ ▁▁ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▅▅ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▁▁ ▁▁ ▁▁ ▁▁ ▅▅ ▅▅ ▇▇ ▇▇ ▇▇

10-07 to 11-05* UTC

      ▁▁▁▁▁▅▅▅▅▅▅▅▅▅▅▇▇▇▇▇▇▁▁▁▁▅▅▇▇▇

      10-07         10-21     11-05*

       10-07                                     10-21                                   11-05*

      10-07         10-21     11-05*

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/v1/services/chelsea-hermes-agent-tools/price, /scores, /volume and /buyers.

Values

* today so far, partial (UTC).

The uptime summary counts completed UTC days only. The strip, readouts and table retain today's partial reading.

Daily snapshot total, 30d: $39.75, peak $23.25 on 11-01. 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 2026-11-05 09:14:01 UTC. Each UTC day uses its last recorded run; missing readings stay unmeasured. Assessment history JSON · Measurement methodology.

Daily values, 2026-10-07 to 2026-11-05: address settlement volume in USD, distinct buyer and settlement counts, uptime percent, average response milliseconds, compliance passed/total, price percentile 0-100, site signals out of 6; UTC dates
Day	Volume	Buyers	Settlements	Uptime	Response	Compliance	Price percentile	Site signals
2026-10-07	no data	no data	no data	68.85%	253.14ms	13/13	p98	1/6
2026-10-08	no data	no data	no data	95.71%	326.87ms	13/13	p98	1/6
2026-10-09	no data	no data	no data	89.77%	257.61ms	13/13	p98	1/6
2026-10-10	no data	no data	no data	97.56%	292.09ms	13/13	p98	1/6
2026-10-11	no data	no data	no data	92.13%	335.95ms	13/13	p98	1/6
2026-10-12	no data	no data	no data	100%	279.94ms	13/13	p98	3/6
2026-10-13	no data	no data	no data	97.78%	263.22ms	13/13	p98	3/6
2026-10-14	no data	no data	no data	98.89%	295.55ms	13/13	p98	3/6
2026-10-15	no data	no data	no data	98.89%	295.16ms	13/13	p98	3/6
2026-10-16	no data	no data	no data	87.5%	280.91ms	13/13	p98	3/6
2026-10-17	no data	no data	no data	97.75%	266.45ms	13/13	p98	3/6
2026-10-18	no data	no data	no data	98.86%	435.10ms	13/13	p98	3/6
2026-10-19	no data	no data	no data	97.75%	371.76ms	13/13	p98	3/6
2026-10-20	no data	no data	no data	84.93%	374.61ms	13/13	p98	3/6
2026-10-21	no data	no data	no data	82.35%	290.29ms	13/13	p98	3/6
2026-10-22	$0.50	1	1	87.8%	280.18ms	13/13	p98	4/6
2026-10-23	no data	no data	no data	86.21%	222.24ms	13/13	p98	4/6
2026-10-24	no data	no data	no data	98.88%	336.99ms	13/13	p98	4/6
2026-10-25	no data	no data	no data	100%	371.09ms	13/13	p98	4/6
2026-10-26	no data	no data	no data	89.41%	278.32ms	13/13	p98	4/6
2026-10-27	no data	no data	no data	100%	261.93ms	13/13	p98	4/6
2026-10-28	no data	no data	no data	7.14%	256.00ms	13/13	p98	1/6
2026-10-29	no data	no data	no data	0%	no data	13/13	p98	1/6
2026-10-30	no data	no data	no data	0%	no data	13/13	p98	1/6
2026-10-31	$15.00	1	9	98.18%	300.17ms	13/13	p98	1/6
2026-11-01	$23.25	1	20	100%	272.34ms	13/13	p98	3/6
2026-11-02	no data	no data	no data	98.86%	296.53ms	13/13	p98	3/6
2026-11-03	$1.00	1	1	98.89%	336.35ms	13/13	p98	4/6
2026-11-04	no data	no data	no data	98.86%	309.34ms	13/13	p98	4/6
2026-11-05*	no data	no data	no data	100%	355.96ms	13/13	p98	4/6

Alternatives in Data

MoneyTools Tools strong 99/100 --- up 30d --- 30d

AgentReader strong 98/100 --- up 30d --- 30d

Tarnak x402 Toolkit strong 98/100 100% up 30d --- 30d

CrawlWitness strong 98/100 100% up 30d --- 30d

Imagio Relay · 57 x402 tools for agents (web-intel, trade math, infra, docs) strong 98/100 100% up 30d --- 30d

5 of 471 other ranked services in Data, ordered by the same measured score.

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