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Evidence row 1038852

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://freetier-agent-api.pages.dev/api/extract-json
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a7f4655d640a9d6b3ba4141d345448d810d3e695d23e381e5a3913861bcf24b8
Leaf
0x317aa824ea96e2f21c30c2997f3feb86a4659f788a069e06ff954add473356c2

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://freetier-agent-api.pages.dev/api/extract-json"
    ]
  ],
  "name": "Agent Extraction API",
  "owner_address": "0x165eb3dc3e98403ecb1141e90400f5e71806554b",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x165Eb3dC3E98403ecB1141e90400F5e71806554B",
        "scheme": "exact"
      }
    ],
    "description": "Messy text + JSON Schema in, clean JSON out. Uses a small LLM (Cloudflare Workers AI, Llama 3.1 8B, JSON mode) when available, else a deterministic key:value/regex extractor; the result is type-checked against your schema and missing fields are null. Limits: text <= 6,000 chars, schema <= 30 top-level properties (flat objects, arrays of scalars); the model can misread ambiguous text, so check important values. Params: text, schema (JSON string), mode=auto|heuristic. GET query or POST JSON body.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "schema": "{\"type\":\"object\",\"properties\":{\"order_id\":{\"type\":\"string\"},\"company\":{\"type\":\"string\"},\"total\":{\"type\":\"number\"},\"currency\":{\"type\":\"string\"},\"due_date\":{\"type\":\"string\",\"format\":\"date\"},\"email\":{\"type\":\"string\",\"format\":\"email\"}}}",
              "text": "Order #4471 from ACME GmbH, total EUR 1.299,00, due 2026-11-30, contact billing@acme.example"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "data": {
                "company": "ACME GmbH",
                "due": "2026-11-30",
                "order_id": "4471",
                "total": 1299
              },
              "limits": "Small-model / heuristic extraction; check important values. Text is not stored.",
              "method": "workers-ai",
              "missing": [],
              "model": "@cf/meta/llama-3.1-8b-instruct-fp8-fast",
              "not_verbatim_in_text": [],
              "sources": [
                {
                  "name": "Cloudflare Workers AI (Llama 3.1 8B fp8-fast, fallback Llama 3.3 70B / Mistral Small 3.1, JSON mode)",
                  "url": "https://developers.cloudflare.com/workers-ai/"
                }
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "mode": {
                      "enum": [
                        "auto",
                        "heuristic"
                      ],
                      "type": "string"
                    },
                    "schema": {
                      "description": "JSON Schema (type object with properties) as a JSON string",
                      "type": "string"
                    },
                    "text": {
                      "description": "input text, max 6000 chars",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text",
                    "schema"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "data": {
                      "properties": {
                        "company": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "due": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "order_id": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "total": {
                          "type": [
                            "number",
                            "null"
                          ]
                        }
                      },
                      "type": "object"
                    },
                    "limits": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "method": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "missing": {
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "model": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "not_verbatim_in_text": {
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "sources": {
                      "items": {
                        "type": [
                          "object",
                          "null"
                        ]
                      },
                      "type": "array"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1793252197/bazaar-icons/19906174df41ffa4.png",
    "lastUpdated": "2026-10-29T07:52:29.067Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-29T07:52:28.889Z"
    },
    "resource": "https://freetier-agent-api.pages.dev/api/extract-json",
    "serviceName": "Agent Extraction API",
    "tags": [
      "llm",
      "extraction",
      "json-schema",
      "text"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Messy text + JSON Schema in, clean JSON out. Uses a small LLM (Cloudflare Workers AI, Llama 3.1 8B, JSON mode) when available, else a deterministic key:value/regex extractor; the result is type-checked against your schema and missing fields are null. Limits: text <= 6,000 chars, schema <= 30 top-level properties (flat objects, arrays of scalars); the model can misread ambiguous text, so check important values. Params: text, schema (JSON string), mode=auto|heuristic. GET query or POST JSON body."
}

What the leaf hashes

{"body":"a7f4655d640a9d6b3ba4141d345448d810d3e695d23e381e5a3913861bcf24b8","id":1038852,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793298276303752,"prev":null,"subject":"x402_bazaar:https://freetier-agent-api.pages.dev/api/extract-json","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (242798 rows).

  1. 0x317b9ddf7131b0a0e583064c48a861611a4dc182e0340c2ef9008c4ad2281f89
  2. 0xa14dd94d94fc47522b81de11cbd68e36088355970892b11853bc76b2df0ae90f
  3. 0x4b86750d32d3f9b576543de21318575d0cfa90cb3a17a6df24366c1d90722654
  4. 0x290949efcb1e9fd7a532f7a1145ea7be8cda079507470fa4bef4f7efe2b094fc
  5. 0x9d1559d575da87b51a9756c82c05719db292b418b9499acbf1e2943fbd17a697
  6. 0x96162829c9b55ebd0dfcd2998eaf32d9a6b04c50bcba148671346e689dacb16f
  7. 0x8ca8ac4afa49e498d87f8ee70b74e3adaf89db71276f8c0ed291ca11975bfc0d
  8. 0xa33f720d8c016e2de25cf8bc9e774cd7bba3a3eba8a01833a68fa0b35be80156
  9. 0xa2cb5317c7f77f6a4888be37e78b7caea7cd314da1374222e3013f9f12fb0069
  10. 0x77d336151748965b06fc9a8b0d3ee84ef29bcfd39d66a5db35b687e997b28313
  11. 0x413960e4c43c9a7b6294c811187d97cad28434e4193a52ee084db8d351830196
  12. 0x77cc691d6e181a284660f8c49d2c4b7f8c2e147cdd84b4b364121a76c825bb3e
  13. 0x15a9e69ec55b3b3b0172aac34642cd2d4dd9a7825683c77c1f52fbc1dc101637
  14. 0xcaae1928370ce22d2a564247e7948dcda78bb8c3ef9a7d8bdfa6e00f84c1e28c
  15. 0x00268e62f7d5ca6313e0e60afdc2bd4f52c6dbdb3b4b4d27e01e634b4bcb1d2c
  16. 0x1c3764b490d23b94e5ac838c89f8d3850dedb0819196f367da2479c7a88bf2c0
  17. 0xd76435ead496863d8b0bfab3434f54cd11da3c49d104fc4064b9cb3381567bbd
  18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07
Day root
0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
Chained
0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
Published
On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1

How to check it · This row as JSON