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Evidence row 1262496

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://agents.crowdspark.me/v1/research/papers
Recorded
Previous row
#1039609
Body SHA-256
4eeb44e3efafa6e4f816b8d0cb19c5338031e30153e9fb4eed4bb7391663beac
Leaf
0x01e003a2543e6661b6404ad1a726b83104b41c44c2634c82acffafd9b7ea79e3

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agents.crowdspark.me/v1/research/papers"
    ]
  ],
  "name": "Agent Tools",
  "owner_address": "0x0dea0030a17bf886543a757c55924710258c2eec",
  "raw": {
    "accepts": [
      {
        "amount": "6000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x0dEA0030A17BF886543a757c55924710258c2eec",
        "scheme": "exact"
      }
    ],
    "description": "Free tier: 25 calls/day per IP with header X-Free-Call: 1 (or ?free=1), then pay per call. Scholarly paper search for research agents: keywords or a DOI in, matching papers out with title, authors, year, venue, DOI, citation count, open access PDF or page link, retraction flag and abstract. Filter by year range and open access, sort by relevance, citations or newest. Source OpenAlex, Crossref fallback.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "from_year": "2023",
              "limit": "3",
              "q": "retrieval augmented generation",
              "sort": "citations"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "papers": [
                {
                  "abstract": "A short abstract of the paper.",
                  "authors": [
                    "A. Author",
                    "B. Author"
                  ],
                  "authors_total": 2,
                  "citations": 181,
                  "doi": "10.1234/example.5678",
                  "doi_url": "https://doi.org/10.1234/example.5678",
                  "open_access": true,
                  "open_access_url": "https://arxiv.org/pdf/0000.00000",
                  "retracted": false,
                  "title": "Example paper on retrieval augmented generation",
                  "venue": "Example Journal",
                  "year": 2024
                }
              ],
              "returned": 1,
              "source": "OpenAlex (CC0)",
              "total_matches": 136358
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "from_year": {
                      "description": "Optional earliest year, e.g. 2020",
                      "type": "string"
                    },
                    "limit": {
                      "description": "1 to 25, default 10",
                      "type": "string"
                    },
                    "open_access": {
                      "description": "true to keep only open access papers",
                      "type": "string"
                    },
                    "q": {
                      "description": "Search words, or a DOI such as 10.1038/nature14539",
                      "type": "string"
                    },
                    "sort": {
                      "enum": [
                        "relevance",
                        "citations",
                        "newest"
                      ],
                      "type": "string"
                    },
                    "to_year": {
                      "description": "Optional latest year",
                      "type": "string"
                    }
                  },
                  "required": [
                    "q"
                  ],
                  "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": "2026-10-30T00:21:13.857Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-30T00:21:13.706Z"
    },
    "resource": "https://agents.crowdspark.me/v1/research/papers",
    "serviceName": "Agent Tools",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Free tier: 25 calls/day per IP with header X-Free-Call: 1 (or ?free=1), then pay per call. Scholarly paper search for research agents: keywords or a DOI in, matching papers out with title, authors, year, venue, DOI, citation count, open access PDF or page link, retraction flag and abstract. Filter by year range and open access, sort by relevance, citations or newest. Source OpenAlex, Crossref fallback."
}

What the leaf hashes

{"body":"4eeb44e3efafa6e4f816b8d0cb19c5338031e30153e9fb4eed4bb7391663beac","id":1262496,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793385564308174,"prev":1039609,"subject":"x402_bazaar:https://agents.crowdspark.me/v1/research/papers","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).

  1. 0x01e03c7f4062591d3b69086b90ebaf140fc18c201068ef6eba0c4d0ea410d375
  2. 0x0d6e64981c78fdbf064986c35af825881cc8b88d4af903a36d0b9b5c2e9dceaa
  3. 0xa80e6cef33b3899b57227f76db7b11fb7f932d56892ac704c78f4d75f1e9ebdd
  4. 0x3078643e7c25798f0439e2d03d0e8251ce5b2c3092826e7a6a27a098303ce1aa
  5. 0x84b2dae8b86bd286947d98b782cfd521050a71d3b68440591a6557f27ae45b27
  6. 0xa2a0553dceec645abf300ac28552fc7f52e8fc9c4b3436d45b06974693ede0b5
  7. 0x55642a442c198dea40e0f6e5738f999db9b8a0000dd561203dfe96f1a9e5162d
  8. 0xd9eb7c12ab2b463f88853edca503beef1a1acea821aa7067b5d20ddf126012ad
  9. 0xa3239b1758f1242064e68c235f5c0b4df82f3cb19d19d9f8db3c360fe9786b17
  10. 0x7db0cf99a788dc4e95823f51f689feacd2f07d7332ef47f569bfae547109bcc7
  11. 0x256ccea52830a2f036ac76722bbd7e46abea7259dbca5fe029d16d53cfa364a9
  12. 0xa1dcaffedf43b192df0f719c0ec805edaa925c119720ae9f42171aca5e2875c3
  13. 0x5265c50f3937a978a97dcf6529a74471a0814f84b7759709755dc93a22996c34
  14. 0xa0c9900ba7512d3a576c15bf6cc53f55a0645d9bf9b4e2e4c1760d00af98e761
  15. 0x2b7a05865245feaf40ea40b73e02d86357af2dcbac9c7b992f1420f5eaa15246
  16. 0xe2a9872e1b6a01c55a7a8cc5c05c61f3933255db5c26b9c79be4011d28685b52
  17. 0xb0c9ef42e725578748f3119c9dbebf2fc437266bda013df29f98ed3ebe621403
  18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON