Evidence row 525594

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.x402ai.dev/api/ask"
    ],
    [
      "x402",
      "https://api.x402ai.dev/api/embed"
    ],
    [
      "x402",
      "https://api.x402ai.dev/api/summarize"
    ]
  ],
  "name": "api.x402ai.dev",
  "owner_address": null,
  "raw": {
    "caip2_networks": [
      "eip155:8453"
    ],
    "category": "",
    "description": "",
    "domain": "api.x402ai.dev",
    "endpoints": [
      {
        "description": "Answers questions (single-turn question answering) from a small local LLM (qwen3.5 2B). Best for general knowledge, definitions and simple reasoning. POST JSON {\"input\": string}, up to 3000 characters; returns {answer, model, elapsed_ms}. Answers are brief (2-3 sentences). Typically 5-15 s. Known limits: no web access, no memory between calls, and it can hallucinate or be wrong on recent events and obscure facts. Answers are unverified.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "What is the capital of France?",
            "group": "body",
            "name": "input",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.04",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "5",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402ai",
        "tags": [
          "question-answering",
          "qa",
          "llm",
          "general-knowledge",
          "ai"
        ],
        "url": "https://api.x402ai.dev/api/ask"
      },
      {
        "description": "Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {\"input\": string}, up to 3000 characters; returns {embedding: number[768], model, dimensions, elapsed_ms}. One text per call; English works best.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "The quick brown fox jumps over the lazy dog.",
            "group": "body",
            "name": "input",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "14",
          "l30DaysUniquePayers": "9"
        },
        "serviceName": "x402ai",
        "tags": [
          "embeddings",
          "vector-search",
          "rag",
          "semantic-search",
          "nlp"
        ],
        "url": "https://api.x402ai.dev/api/embed"
      },
      {
        "description": "Summarize a passage of text into a short, concise summary with no preamble (qwen3.5 2B model). Good for condensing articles, emails, logs or documents before passing them to another agent. POST JSON {\"input\": string}, up to 3000 characters; returns {summary, model, elapsed_ms}. Typically 5-15 s. Small model: may miss nuance in technical or long text. Text only.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "A long passage of text to condense...",
            "group": "body",
            "name": "input",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "5",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402ai",
        "tags": [
          "summarization",
          "summarize",
          "text",
          "nlp",
          "llm"
        ],
        "url": "https://api.x402ai.dev/api/summarize"
      }
    ],
    "enriched": false,
    "iconUrl": "",
    "id": "api-x402ai-dev",
    "integrationType": "",
    "isNew": false,
    "name": "api.x402ai.dev",
    "networks": [
      "Base"
    ],
    "priceSummary": {
      "avgCostBasis": "exact",
      "avgCostPerTransaction": "0.023333",
      "currency": "USDC",
      "maxAmount": "0.04",
      "minAmount": "0.01"
    },
    "provider": "api.x402ai.dev",
    "providerUrl": "",
    "serviceName": "x402ai",
    "tags": [
      "question-answering",
      "qa",
      "llm",
      "general-knowledge",
      "ai",
      "embeddings",
      "vector-search",
      "rag",
      "semantic-search",
      "nlp",
      "summarization",
      "summarize",
      "text"
    ]
  },
  "source": "agentic_market",
  "summary": ""
}

What the leaf hashes

{"body":"632120b50d22b2f33c217d20961fa3cfb37a5211ded76e66b1c6854331ca568a","id":525594,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793124762578640,"prev":408020,"subject":"agentic_market:api-x402ai-dev","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0xcb8031c4d1b64b8cdaf26b41e1bb7e4a1eeec3b9ccd3e46a6da3a70fb6658454
2. 0x36c64c9250f6e9957fec6e88ac1ef7cf37e5afce22d6d60b9c1fa418523f56de
3. 0x924e17b93e395aefc7a04c207cd0beca8e8112d255db8ed3e6635eb869af796b
4. 0x9491eb02663a7ef4bd8c9475de473c5f8e8d2da8fe97c200b808ffe7ca094d56
5. 0xfc1e60ed73e19d757976bce71d44024de71574db34e7eb9e7b3ec6889ae3b28c
6. 0xfe6c1000bc14d0ca571b62c904f73b221455184511b98406e7a10d3dcf32ed66
7. 0x211a8354bdcfe2d43e7586e87f86574c6492999c1352d5a56c0021ed5f7e507c
8. 0xd3ebd1d8b815373878a1b5c6b5cbfb1c3174c0e40760067d952a58c895895dd0
9. 0x0d4278a1980e5aee9c2de67b0188027de8dafbb766e82274ebc29cd5e43b57f0
10. 0x01329e374a465f6254ae074b3ab3a888ae0012f8c291524f049222391a97344e
11. 0x95fd8dbb624ecc6822c359ba43d046675a49c3d9c33da7908f9d847fea4eb0f8
12. 0x7142f07ffeddbd14ceabecb9ab27a468e9ab58a2fca5472c5c6a93f3e98f173e
13. 0x938752e9acd199cd15f468392bc2dd8eefc52293e7144e30b87b241ca6b2513b
14. 0xcc49fd573532e5a29f5be4033f62a2eff71456c020bd2258312b98e95cfe301e
15. 0x969cd44e5a4e8dc3110540398fbf689659eb51df735c1cda5d8f021ef9ff5683
16. 0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5
17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4