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Evidence row 407749

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://api.losbeto.xyz/classify
Recorded
Previous row
#278802
Body SHA-256
8633c219f8a3bd31b65f0934e0f8cde07f5082a702abe4624878fb1b73ed2264
Leaf
0xada9d3d48b4fc5563f8b6ddab91a09b27ec395f057bc6b07efdfd91a6bd4b1b3

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.losbeto.xyz/classify"
    ]
  ],
  "name": "Losbeto Market Intelligence",
  "owner_address": "0xd5ba9711a3d052846a3695c70e7fcb8b3168fe7d",
  "raw": {
    "accepts": [
      {
        "amount": "8000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "requestId": "0b489d526fdf",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xd5Ba9711a3D052846a3695C70e7fcb8b3168FE7d",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww",
          "requestId": "0b489d526fdf"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "GEhr9HCFTRDjanMg435frSgCVwVZYpNoPrEkmNBnFHFE",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "31566704",
        "extra": {
          "feePayer": "ZMFK2OI7ZBD2U27ISERZC4S6LKM6WMFJPZQ4MYNJDZ2VNBNMBA67RA22AA",
          "requestId": "0b489d526fdf",
          "tag": "x402-global-challenge"
        },
        "maxTimeoutSeconds": 300,
        "network": "algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=",
        "payTo": "MRVA6OABPQJNJ2WFUHFY57FMJXHBV37IU665MXRJX4JYBIWGACP3LSDUF4",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "requestId": "0b489d526fdf",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0xd5Ba9711a3D052846a3695C70e7fcb8b3168FE7d",
        "scheme": "exact"
      }
    ],
    "description": "Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if th...",
    "extensions": {
      "bazaar": {
        "dataFreshness": {
          "cache_ttl_s": 60,
          "live_data": "≤3s from source",
          "preview_data": "≤15min delayed"
        },
        "description": "Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if th...",
        "info": {
          "input": {
            "bodyParams": {
              "labels": [
                "billing",
                "shipping",
                "technical",
                "other"
              ],
              "text": "My card was charged twice"
            },
            "contentType": "application/json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "type": "json"
          }
        },
        "inputSchema": {
          "properties": {
            "labels": {
              "description": "2-30 candidate labels; the answer is always one of them.",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "text": {
              "description": "Text to classify (max 6000 chars).",
              "type": "string"
            }
          },
          "required": [
            "text",
            "labels"
          ],
          "type": "object"
        },
        "naturalLanguageDescription": "Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if the model returns anything else the payment is returned as call credit. Do NOT use for open-ended tagging — that is /extract.. Tier: discovery. Live via x402 or credits; free delayed preview via ?preview=1. Auditable on-chain settlement; Ed25519-signed metrics.",
        "pricingRationale": {
          "notes": "Aligned to x402 ecosystem median (~$0.028/call). Premium tiers reflect multi-source aggregation cost.",
          "price_usdc": 0.008,
          "tier": "discovery",
          "vs_median_x402": 0.29
        },
        "provider": {
          "name": "Losbeto Market Intelligence",
          "url": "https://api.losbeto.xyz"
        },
        "ranking_hints": {
          "category": "discovery",
          "primary_tag": "AI",
          "unique_selling_point": "Assign text to exactly one label from a closed set you provide — support triage, intent ro"
        },
        "sampleQueries": [
          "GET /classify?preview=1  # free delayed sample",
          "GET /classify  # live data (returns 402 with payment challenge)",
          "GET /classify?text=My card was charged twice&labels=billing,shipping,technical,other  # with parameters"
        ],
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "bodyParams": {
                  "properties": {
                    "labels": {
                      "description": "2-30 candidate labels; the answer is always one of them.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "text": {
                      "description": "Text to classify (max 6000 chars).",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text",
                    "labels"
                  ],
                  "type": "object"
                },
                "method": {
                  "description": "POST",
                  "type": "string"
                }
              },
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "description": "Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if the model returns anything else the payment is returned as call credit. Do NOT use for open-ended tagging — that is /extract.",
                  "type": "object"
                }
              },
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "ai",
          "classification",
          "routing",
          "crypto",
          "market-data"
        ],
        "title": "Classify — Losbeto",
        "useCases": [
          "market data input",
          "AI agent research",
          "systematic trading"
        ]
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1790529703/bazaar-icons/b104f2f7df1a4ce6.png",
    "lastUpdated": "2026-10-27T00:01:00.587Z",
    "quality": {
      "l30DaysTotalCalls": 51,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-27T00:01:00.139Z"
    },
    "resource": "https://api.losbeto.xyz/classify",
    "serviceName": "Losbeto Market Intelligence",
    "tags": [
      "ai",
      "classification",
      "routing",
      "crypto",
      "market-data"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if th..."
}

What the leaf hashes

{"body":"8633c219f8a3bd31b65f0934e0f8cde07f5082a702abe4624878fb1b73ed2264","id":407749,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793080251637188,"prev":278802,"subject":"x402_bazaar:https://api.losbeto.xyz/classify","subject_kind":"source_record"}

Proof

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

  1. 0xada9ebb85ddff5c8c8e1f6e427e77eef7bc6bf1baed86c2485cd54eac27db9ce
  2. 0xaf29d205757e85947c62542e9ac62aec17a98d2942d2138f08f7a78ac1da9f38
  3. 0xa4044792a701d3637fd73e70fa15e2ebdd89d5f41f40905cfe4e3c0417e1e0f0
  4. 0x5badf44effe80cd7662028ed0cc020a1779f450bd9dba416742fad7ec6c2eaa5
  5. 0x2dfde21cfdfe2d4313ab394f4e0ff04de230a3dbaccb1df40a9c143081ed7502
  6. 0x708e0ca3710084e9770c040e23b166f1bbbdabdc00a0e8866e531c1b33fbe4bd
  7. 0xa7c612ac9fe2fcdd4947053a3dc17ce87e2bfe5965095bbf3f8c2feaf43f9326
  8. 0x5e73bde443c14c0e3b8f4d08db7778728e7623d926b38241c9893ceee19b3cf4
  9. 0x8a261338ddc7572e454764e7e01c07aa1b5cc101f7a9e793ba93e53f58814af5
  10. 0xed906d759d63544fe3250a7971cabbc8edb2e56cbb7f0fd3c3360cf95eb610e2
  11. 0xb89b24cd1d7e0c7c2ce0c435dc1342bd2dd1e8dbc66c7f39012d50e51bc3b3eb
  12. 0x4cddbeeac8c1524fc617036c97fadc68ab084810bb271f11ef4210796d067f9d
  13. 0x4c82d20074b9d7d77e728b0250a2c662412d8d0f7eccff2d8100bfcc4434597f
  14. 0x98c6ed3e7b5bb7f1757a8660af410226a11dd563bf83010040c2ce059ab45e54
  15. 0xec7bb68216a4deb1960acfbbd75da88f7e468b58adb9cf3ec62f2790e46508b3
  16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON