Evidence row 278802

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": 49,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-26T14:22:49.229Z"
    },
    "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":"5498d46e6e92639c803923f0b9ca4b3b51e6f47f363d21da28da514cf0ba97d1","id":278802,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793042079373196,"prev":15736,"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 2026-10-26 (296695 rows).

1. 0xb4385756369226691743fd938b0dbdc6c47fdc69af9d6e06d6264a2ecfc9ed84
2. 0xc6ba2a16bd73612d5a238b9f789311caee51985260575a76400f2c9ef619189e
3. 0xf8646db5fa47cafe0efa4f1cd8935b847a3d6ef2fb816745a687c5a31f580647
4. 0xf15da576a23a9982a389d4ba0f42fc72fa510b26375177294bd0756458d2d162
5. 0x0845f2c905300abd0dd158b4d851572b0193c6ad116959390f431b7ee614efea
6. 0x3413f8521019551f5e08792d8f0160f3780a52a888ab96877dd9b218b62dcbd3
7. 0x79bcefab47f08e50f6a9fd235cb2ca8893ca67cac61b4c90ddd9e0569750b606
8. 0x5a81d51f377df52dc3548b4a0e008304ef523e03c80e783de448380f60c4eaa5
9. 0xff19ff20737832a713e74726f26f4ee2244f1c3d7200366878a64ececca6fa6f
10. 0xf941bb922f242f0d5ded32ad8f4624a0ca45bdb31fdd68caca25d77699da15d9
11. 0x559555135675e39701c05a4d63d274b59d60cf1dc8421a68215c770867d00aff
12. 0x7a0f1751de1946feff7d8c8afc737dcc4d35f110809c15aa0fdb8363a9e31b2b
13. 0x0d86419ca1dd0b62fd8b22ea2e8c74d441312cec3116a467bea429b43e026565
14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae