Evidence row 64801

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.agoranome.com/v1/seller/gaps"
    ]
  ],
  "name": "Agoranome",
  "owner_address": "0x82f7d272628cffc810fa13c90634add245da42a5",
  "raw": {
    "accepts": [
      {
        "amount": "1000000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x82f7d272628cffc810fa13c90634add245da42a5",
        "scheme": "exact"
      }
    ],
    "description": "What x402 API should I build? The demand gap finder runs up to 150 Bazaar searches phrased the way buyer agents phrase tasks and ranks the unmet demand: tasks whose top results are weak (no listings, few payers, thin descriptions or a poor fit), with the evidence for each. Public Bazaar data only, joined with measured repeat demand per category.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "topic": "pdf"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "result": {
                "gaps": [
                  {
                    "category_repeat_calls_30d": "<n or null>",
                    "score": "<0-100>",
                    "task": "...",
                    "verdict": "<open|weak>",
                    "why": [
                      "..."
                    ]
                  }
                ],
                "headline": "<n> of <searches> buyer searches find weak results; biggest opening: <task>."
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET",
                    "HEAD",
                    "DELETE"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "topic": {
                      "description": "A topic or category to search around; every category if omitted",
                      "maxLength": 80,
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-24T03:04:35.678Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-24T03:04:35.293Z"
    },
    "resource": "https://api.agoranome.com/v1/seller/gaps",
    "serviceName": "Agoranome",
    "tags": [
      "x402",
      "unmet demand",
      "demand gaps",
      "what to build",
      "bazaar"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "What x402 API should I build? The demand gap finder runs up to 150 Bazaar searches phrased the way buyer agents phrase tasks and ranks the unmet demand: tasks whose top results are weak (no listings, few payers, thin descriptions or a poor fit), with the evidence for each. Public Bazaar data only, joined with measured repeat demand per category."
}

What the leaf hashes

{"body":"0ef3268cc2b34f2a76f59cb4a16f41b90fe8e56884be126cd3ceb63524c98e0a","id":64801,"kind":"listing","method":"baseline/1","observed_us":1793025457313131,"prev":null,"subject":"x402_bazaar:https://api.agoranome.com/v1/seller/gaps","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. 0x17ad1315b3338d0a1935b47d8c230424836926e4fec937cd262a0b02c0cb1e4a
2. 0x11060e7b8580906f9d20e49c2c03d5c87097cbd6da390d00069fe53842dd4317
3. 0x83671fde1b515a02c055d1f88e6ec7ad89fd7abb3a411aafe6d7fdd7ad48f782
4. 0x3ba6fe59a51e070ac0777a3d2dd52a8f63aa0188f1564b27407d0c033b4c88ea
5. 0xac153eed97e80a26775e5c4fcca15826ff7b051c5e01c3a1a2f72a1afd1f3622
6. 0xb8ce276bf77d5d285dc24a4f730c0bae7aa7010ea51ebd5655d1a0cba77c1128
7. 0x39d9f0575bec2f85fd1a718e675e633f33c0d4df2f58dfd080985195a6a65c5b
8. 0xba5e563cc870de4e3907ba4cbe7ff97ca668343fb28be26f870041d1b6c1769e
9. 0x7f0f0d38564656173bda7241db92a0622251ea43e823cbcb8c95d9f874246bc5
10. 0x0d4fc8ebd9dad99184207670597ef1933fa15a1f2659bf0e662e21ebef5f0e51
11. 0x84d28434d4d3c4d17b89916035448fc07d9ad132609b14e307edbe020e19d1a6
12. 0x15eab8feed5b3f08165d63b9f1aed508c0624966a05349e051f86f0c188707b5
13. 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
14. 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae