Evidence row 278711

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.losbeto.xyz/br-revisions"
    ]
  ],
  "name": "Losbeto Market Intelligence",
  "owner_address": "0xd5ba9711a3d052846a3695c70e7fcb8b3168fe7d",
  "raw": {
    "accepts": [
      {
        "amount": "190000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "requestId": "afa68753e444",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xd5Ba9711a3D052846a3695C70e7fcb8b3168FE7d",
        "scheme": "exact"
      },
      {
        "amount": "190000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww",
          "requestId": "afa68753e444"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "GEhr9HCFTRDjanMg435frSgCVwVZYpNoPrEkmNBnFHFE",
        "scheme": "exact"
      },
      {
        "amount": "190000",
        "asset": "31566704",
        "extra": {
          "feePayer": "ZMFK2OI7ZBD2U27ISERZC4S6LKM6WMFJPZQ4MYNJDZ2VNBNMBA67RA22AA",
          "requestId": "afa68753e444",
          "tag": "x402-global-challenge"
        },
        "maxTimeoutSeconds": 300,
        "network": "algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=",
        "payTo": "MRVA6OABPQJNJ2WFUHFY57FMJXHBV37IU665MXRJX4JYBIWGACP3LSDUF4",
        "scheme": "exact"
      },
      {
        "amount": "190000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "requestId": "afa68753e444",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0xd5Ba9711a3D052846a3695C70e7fcb8b3168FE7d",
        "scheme": "exact"
      }
    ],
    "description": "The full revision trail of Brazilian official statistics: first print, every correction, the size of each revision in basis points and the timestamp we observed it. The FED publishes ALFRED for US vintages; Brazil has...",
    "extensions": {
      "bazaar": {
        "dataFreshness": {
          "cache_ttl_s": 60,
          "live_data": "≤3s from source",
          "preview_data": "≤15min delayed"
        },
        "description": "The full revision trail of Brazilian official statistics: first print, every correction, the size of each revision in basis points and the timestamp we observed it. The FED publishes ALFRED for US vintages; Brazil has...",
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "series": "ipca_12m_pct"
            },
            "type": "http"
          },
          "output": {
            "type": "json"
          }
        },
        "inputSchema": {
          "properties": {
            "series": {
              "description": "series parameter",
              "type": "string"
            }
          },
          "required": [
            "series"
          ],
          "type": "object"
        },
        "naturalLanguageDescription": "The full revision trail of Brazilian official statistics: first print, every correction, the size of each revision in basis points and the timestamp we observed it. The FED publishes ALFRED for US vintages; Brazil has no public equivalent. Cannot be scraped retroactively by anyone — it only exists because this node was running and recording.. Tier: pro. 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 (~$0.028/call). Premium tiers reflect multi-source aggregation cost.",
          "price_usdc": 0.19,
          "tier": "pro",
          "vs_median_x402": 6.79
        },
        "provider": {
          "name": "Losbeto Market Intelligence",
          "url": "https://api.losbeto.xyz"
        },
        "ranking_hints": {
          "category": "pro",
          "primary_tag": "Brazil",
          "unique_selling_point": "The full revision trail of Brazilian official statistics: first print, every correction, t"
        },
        "sampleQueries": [
          "GET /br-revisions?preview=1  # free delayed sample",
          "GET /br-revisions  # live data (returns 402 with payment challenge)",
          "GET /br-revisions?series=ipca_12m_pct  # with parameters"
        ],
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "queryParams": {
                  "properties": {
                    "series": {
                      "description": "series parameter",
                      "type": "string"
                    }
                  },
                  "required": [
                    "series"
                  ],
                  "type": "object"
                }
              },
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "description": "The full revision trail of Brazilian official statistics: first print, every correction, the size of each revision in basis points and the timestamp we observed it. The FED publishes ALFRED for US vintages; Brazil has no public equivalent. Cannot be scraped retroactively by anyone — it only exists because this node was running and recording.",
                  "type": "object"
                }
              },
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "brazil",
          "vintages",
          "macro",
          "crypto",
          "market-data"
        ],
        "title": "Br Revisions — 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": "2026-10-26T14:43:09.888Z",
    "quality": {
      "l30DaysTotalCalls": 75,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T14:43:09.698Z"
    },
    "resource": "https://api.losbeto.xyz/br-revisions",
    "serviceName": "Losbeto Market Intelligence",
    "tags": [
      "brazil",
      "vintages",
      "macro",
      "crypto",
      "market-data"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "The full revision trail of Brazilian official statistics: first print, every correction, the size of each revision in basis points and the timestamp we observed it. The FED publishes ALFRED for US vintages; Brazil has..."
}

What the leaf hashes

{"body":"0981e7e6e43ac586288e34560b54fef0a7ec7dbb020a0ceaa2f48bdf1dc417de","id":278711,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793042078604746,"prev":236208,"subject":"x402_bazaar:https://api.losbeto.xyz/br-revisions","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. 0xf242d707a6eec8de3615ac5368172e0465c99138ac17a743638e68f746fda23f
2. 0x934faa7f4f4688c1c5bcdcaba190dc6a1936c0bdc088201fbc30e17b52e4bb78
3. 0x62fb0f0539bc787aa73ea279c36430ea6985a016070b0e79717a8f390aca7dae
4. 0x685d16ae87fae950b9a1f17d2bd6e67c9b69865d32bdd365b6d44fe20bc6afeb
5. 0x435103b8728420533d4bfff858780816e8fbb8a6562f4b00665ab440b432dde9
6. 0x78003181c1d153f67ebb7c248901aa473a165b7120af4e8cfd24d7dab05bb8d7
7. 0x791a76134c0ff4adfba05c04d921431371929d0d1936ec57f1db2832a4fdc5fe
8. 0x6f82408cac90c67d7879429efa1eb23a962a0f4fa6bc11df4ed1a2da805bb3de
9. 0x68ce90d522e4b083ae0f447011e9a4c842bf9c96bf5705f4796cbe51f5f2a256
10. 0x747b8d129940c04d50dabe8a6f73c88489e36e50ca6f34c4b98a90d3c8238e2e
11. 0xed3de41377d308fca21bfc95ef194b731c0ae2a53b6db64d80352c5f19d0e790
12. 0x3e439c99553dde4ddc1a9189bc043fa92a4b6b41e39e7e6b21c10148f9558a78
13. 0xa26f0437cba4d7d64f1cf98bf4f490e1ebb6f66a5e2331537b7ba8b3061084e0
14. 0xd769d41500075835c3b2f9184d223699fb983fd05c29fbcb44d964abc7ee380d
15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae