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Evidence row 122652

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://tienda.textokit.store/api/source-bounded-summary
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
f099cacd6d8dc0c8fca862768451b003f5accd70ee58bbc948f54ddabba9c6d0
Leaf
0x119df3917c23facdb7a2acd522fab8a8bf200c0bc8811e78eaa89c24da0d93d0

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://tienda.textokit.store/api/source-bounded-summary"
    ]
  ],
  "name": "Textokit",
  "owner_address": "0x6b5af9924f4cd35643c11a9fd1c983f77261a6e1",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x6b5aF9924f4CD35643c11a9fd1C983f77261A6E1",
        "scheme": "exact"
      }
    ],
    "description": "Summarize text with evidence: send 1 to 4,000 characters in English or Spanish and get a short summary plus 1 to 3 supporting quotes verified as exact substrings of your text, with a limitations note. Use this when an agent must condense an article, email or document and needs citations it can check before putting them in a report. Works only on the supplied text, no web retrieval, JSON out. Free sample at /api/source-bounded-summary/sample.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "language": "es",
              "text": "Ana entregó el informe el lunes. Luis lo revisó el martes."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "evidence": [
                {
                  "quote": "Ana entregó el informe el lunes."
                },
                {
                  "quote": "Luis lo revisó el martes."
                }
              ],
              "limitations": "Citas comprobadas como fragmentos literales del texto proporcionado; no se verificaron hechos ni fuentes externas. El resumen generado puede contener errores de interpretación.",
              "summary": "Ana entregó el informe el lunes y Luis lo revisó el martes."
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "language": {
                      "description": "Summary language; defaults to es",
                      "enum": [
                        "es",
                        "en"
                      ],
                      "type": "string"
                    },
                    "text": {
                      "description": "Source text; no secrets or sensitive data",
                      "maxLength": 4000,
                      "minLength": 1,
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "const": "json",
                  "type": "string"
                },
                "method": {
                  "const": "POST",
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "evidence": {
                  "type": "array"
                },
                "limitations": {
                  "type": "string"
                },
                "summary": {
                  "type": "string"
                }
              },
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1792912421/bazaar-icons/ae1fd91a209ba3fd.png",
    "lastUpdated": "2026-10-25T22:06:58.283Z",
    "quality": {
      "l30DaysTotalCalls": 12,
      "l30DaysUniquePayers": 5,
      "lastCalledAt": "2026-10-25T22:06:57.568Z"
    },
    "resource": "https://tienda.textokit.store/api/source-bounded-summary",
    "serviceName": "Textokit",
    "tags": [
      "summarization",
      "evidence",
      "nlp",
      "spanish",
      "text"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Summarize text with evidence: send 1 to 4,000 characters in English or Spanish and get a short summary plus 1 to 3 supporting quotes verified as exact substrings of your text, with a limitations note. Use this when an agent must condense an article, email or document and needs citations it can check before putting them in a report. Works only on the supplied text, no web retrieval, JSON out. Free sample at /api/source-bounded-summary/sample."
}

What the leaf hashes

{"body":"f099cacd6d8dc0c8fca862768451b003f5accd70ee58bbc948f54ddabba9c6d0","id":122652,"kind":"listing","method":"baseline/1","observed_us":1793025622029427,"prev":null,"subject":"x402_bazaar:https://tienda.textokit.store/api/source-bounded-summary","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. 0x119e18de04142e6045f1a925ce1837a8fcbd7e4cb164da091b6e2c0e2446a5b6
  2. 0x4f95e272a55eed04cea0172233d023214c81817c075c4c6474839cd757314354
  3. 0xa796fbe9c22fd87bb799d3581aaf8469872140876fdbbb7009d68ec33fa14053
  4. 0x02572c278f2cd692330696a7d36d39640c5a2541862362c7df8ec525c749832a
  5. 0xa53802de3377cd24ec507f2f0ae41966f91cb832d5d94fbd09586db76314aba6
  6. 0xccdc362470c63e5e0c332deb82d967d1c66c74f1e0fa9e0a8551d0e56070a6a1
  7. 0x194ea65dce06e1bbf1fc62d7279e02e6d0f615a25887f49a7586cb3619684505
  8. 0xc8ce4414b0ae427c5ba7c0ed1d58a5b9dfbbb15aee1b4a7e79fb299b23a03f2a
  9. 0x4e785676cfd6ff09cb0e055fe7daa99aa723abff896550ea9581813c291f23dc
  10. 0x970e7fce5d49f34f6b51af44a118952db23266c34d492098d84b4f12f45ecbff
  11. 0xb3d22f508aaf8117a0a5454390284c48363baa096e225b30af56d708d8dcd0b3
  12. 0xc02d9eff6ef94d46d90d54320548f18fc3f05787047265548577569253c19969
  13. 0x294f7935f78a896b5f246a7c9a7ee1b023720acdb03fff3cd549c63479848ec9
  14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  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