Evidence row 278348

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":278348,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793042065214555,"prev":1527,"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 2026-10-26 (296695 rows).

1. 0xce296fb4285f3d61a47795e76e8be6ee62a42536583df673bdc3d295d6e5de4a
2. 0x9097b91cb9e57d90c2ba90e1b9e391b616526dbcb420256c9fd4e71984b30f1b
3. 0x0a4b48f7990df19a9ff847e872b33b7acc2e2a7d60a208d106514631937e2b29
4. 0x397a0ba9d24dd44420849859c28a82cd01be56b4bcc3774c74c8dee709ffb24e
5. 0xadb4835d9f6ac2a74870fcd4fb9fc4b856f3e67ef8ba0079880bf5827c9176c1
6. 0x797c025184d51517a4b81a252137938318c5c5b2ff838175db208f1d7c57d6df
7. 0x5a8ca6eaa15a3ef5cd689e1365fbeb26a8ecf8c49d00216f54037ad7a656a857
8. 0xebd6494312b4b179f76402b441c02aa631259e348eca466eacfd4e92082b1bfc
9. 0xd3551510c81fd83005b86c84e3f1b172085f27cc8e6ffaa14edb70ca9263631f
10. 0x2ade4beca319f9877e5b22694d275fbcb1a94a2e38ad058893960d379e44e892
11. 0xd57a32d9d2666c4270544dcb78bbea2f4774705d3879a86973628e2542543e62
12. 0xa45f4438c9296b0ba586fc2eec9f0202e5d3c61a1d3adc975b80f6a1f4a5ca57
13. 0xe43762a621da83c0b4b63f549cd2e19c428ac702bfc1038d70233867b06c447f
14. 0xefabf1105e09cf52c12c58e60cbb5048b9ac3f02631d1816a926e14bdd86fbdf
15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae