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Evidence row 3488

Observed , by baseline/1.

Kind
listing
About
source_record agentic_market:replate-backend61-vercel-app
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9d93622591a6a18a3117169b0f76bcab8c5ffedf705a5ca3d2b78523bf640336
Leaf
0xc16fed1b7d52e091b1c2fb8a4c9ae44499bcb744ea03e5cef9ca56bb0a1c2834

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://replate-backend61.vercel.app/api/analyze-meal"
    ]
  ],
  "name": "replate-backend61.vercel.app",
  "owner_address": null,
  "raw": {
    "caip2_networks": [
      "eip155:8453"
    ],
    "category": "",
    "description": "",
    "domain": "replate-backend61.vercel.app",
    "endpoints": [
      {
        "description": "Analyze a meal photo for visible foods, estimated food-group shares, missing groups, plant diversity and a balance score. Returns JSON with one practical suggestion. No receipt, Replate account or receipt verification is required. Visual estimates only; no exact calories or medical assessment. (0.01 USDC)",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+a6x0AAAAASUVORK5CYII=",
            "group": "body",
            "name": "imageBase64",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "3",
          "l30DaysUniquePayers": "1"
        },
        "serviceName": "Replate Intelligence",
        "tags": [
          "meal-analysis",
          "food",
          "nutrition",
          "vision"
        ],
        "url": "https://replate-backend61.vercel.app/api/analyze-meal"
      }
    ],
    "enriched": false,
    "iconUrl": "",
    "id": "replate-backend61-vercel-app",
    "integrationType": "",
    "isNew": false,
    "name": "replate-backend61.vercel.app",
    "networks": [
      "Base"
    ],
    "priceSummary": {
      "avgCostBasis": "exact",
      "avgCostPerTransaction": "0.01",
      "currency": "USDC",
      "maxAmount": "0.01",
      "minAmount": "0.01"
    },
    "provider": "replate-backend61.vercel.app",
    "providerUrl": "",
    "serviceName": "Replate Intelligence",
    "tags": [
      "meal-analysis",
      "food",
      "nutrition",
      "vision"
    ]
  },
  "source": "agentic_market",
  "summary": ""
}

What the leaf hashes

{"body":"9d93622591a6a18a3117169b0f76bcab8c5ffedf705a5ca3d2b78523bf640336","id":3488,"kind":"listing","method":"baseline/1","observed_us":1793025273299539,"prev":null,"subject":"agentic_market:replate-backend61-vercel-app","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xc16fd2c89f77db85a322f02997ad9595b39afbc45c56e9cd142b53bcfd44729e
  2. 0x8f69820bca8654a2412cc15d98170921f4a96f3bee811313d8e028d7a52cb852
  3. 0x866141ffda95a852cc9beef378d76bbbc0461a5fb5a8eb8c96ea31e6b54b2408
  4. 0x1ac564eb6f0a46f8bc50d6570b3e7ecbb41299dd6285e401564f21a6fac2e859
  5. 0xface264202a58ab14e65e0a841b5260f401594c0621c137f6dde2abc4cd0779a
  6. 0x81f24a78a81178bed3c9c2d21fb0e6d9537a04ffefe70ef52591af6eb6fe54e3
  7. 0x0795e2598f808b1271a748f5b7042c7e4059427239a58d6a0b4e634d6afd3101
  8. 0xb2704534ec5e3cf350150a20ed35f388b9eb0484ceaf9a0094b99284d38f503b
  9. 0x091243e4069dfd2eeb0b8dc6581a268965484e278ee245186f03e870f550fec2
  10. 0xdb630840559ca98efe4caba77a155e418f81e1eb0b7bac122b345364c8b871dd
  11. 0xf4fdcce8aa5f97c7e98aeab4ad558743dfee0aa6d4d12415896a148aee663b17
  12. 0x111576180a2fecebcaf560e6b72ed8cefedaacb8c607539ece417b7465831f66
  13. 0x96eae331a78c1c9248bc58130ff83d31b884760a51fe7191de2a39105ae7c072
  14. 0xdbe2e8dd65ea1248b2936612538f18268abd5cf27ebdab3737694571ad496004
  15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON