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Evidence row 15736

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://api.losbeto.xyz/classify
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
4dc19805d5ad1047a10cb5e5f1d5e8f84f550bbc04a730d1ae7903616c80afa6
Leaf
0x3090a1919bb139a816dec757ea02306769707617ee325c9c5864d78593c1244e

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": "07dc9851c61c",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xd5Ba9711a3D052846a3695C70e7fcb8b3168FE7d",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww",
          "requestId": "07dc9851c61c"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "GEhr9HCFTRDjanMg435frSgCVwVZYpNoPrEkmNBnFHFE",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "31566704",
        "extra": {
          "feePayer": "ZMFK2OI7ZBD2U27ISERZC4S6LKM6WMFJPZQ4MYNJDZ2VNBNMBA67RA22AA",
          "requestId": "07dc9851c61c",
          "tag": "x402-global-challenge"
        },
        "maxTimeoutSeconds": 300,
        "network": "algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=",
        "payTo": "MRVA6OABPQJNJ2WFUHFY57FMJXHBV37IU665MXRJX4JYBIWGACP3LSDUF4",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "requestId": "07dc9851c61c",
          "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": "2026-10-26T14:22:49.489Z",
    "quality": {
      "l30DaysTotalCalls": 47,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-25T12:54:49.289Z"
    },
    "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":"4dc19805d5ad1047a10cb5e5f1d5e8f84f550bbc04a730d1ae7903616c80afa6","id":15736,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025321349040,"prev":null,"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 (296695 rows).

  1. 0x30902b9a1e24417b0efe2d655bfde702ffcb7fc6329b615a832b329dbb70faa5
  2. 0xdade11a27649b26176ba92cd72a17dd347ef4701e1f8d8e05d25aa0db022a1c1
  3. 0xdb68042a089deb50e578a64999ef898169903d37da4425ba6ae13061fc5aa31d
  4. 0x950e8e3f00e53e9dc106ecc88df05e8707cdf2e35333bd127fed8b22c28ec1ad
  5. 0xd63b029a3d3150e4028ce24d9bd64abe44d1d80cefc7650720dd9917e66ee30a
  6. 0x8ff7ca6231333d9e4702da4c5edee5a015cae92dc22e9cacf3f1cb8c1854c37e
  7. 0x771e712ff9fd4e7321a5b26f5db814b6f00e791b84eb0737c1093e7706b7e2c4
  8. 0x192b6a582ca5edc52fc9e17df57fd8694908c9c00b7c1424a32ba352d77ff634
  9. 0x0873cae3f9ee0333b9da41ab852b9038c536f7405fd7f4e58870bb84e7a9fa75
  10. 0x0886695ce8b00ff9cb3b286883a23d258a3fbdfe296f9e24a8b5f848bccd41cb
  11. 0x66b4d790d6ae725a0af009d5a6edacaec5a6147d597bc8410a97be11d56a00d1
  12. 0xd85c7204d76d26255c94ef4caa12c05addd08238caa5cdc3888ea60b74e6b940
  13. 0x36a44931b230976c04691d90bf3a25ed4111d74c78b672850d8025a911ca88dd
  14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
  15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON