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Evidence row 60801

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://agdata.shveik.dev/x402/linkedin-jobs
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
2106c6519c5e1dc11c2fd96562d5d647eb132a41c5d83f857db06af0d9a5457b
Leaf
0x1aec9c86dc7f4846bcb866e72cb0545fbcc8058a61ad2133a830e23e80035570

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agdata.shveik.dev/x402/linkedin-jobs"
    ]
  ],
  "name": "agdata",
  "owner_address": "0xbba594f5549392df7a8182049291b605948f5f86",
  "raw": {
    "accepts": [
      {
        "amount": "29400",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xbBa594F5549392DF7A8182049291b605948F5F86",
        "scheme": "exact"
      },
      {
        "amount": "29400",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:137",
        "payTo": "0x5893209222F2C959Eb5D4C6CD2828b06845e57BE",
        "scheme": "exact"
      }
    ],
    "description": "LinkedIn jobs search API for AI agents: send a job title or keywords and an optional location and get up to 50 public job listings as JSON: title, company, location, posting date, employment type, seniority, salary when listed, the listing's URL and its description. Filter by how recently a job was posted. Recruiter names are not returned. Jobs you paid for but did not get are refunded.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "limit": 10,
              "location": "Prague",
              "query": "data engineer"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "applicants": "39 appli…",
              "applyType": "EXTERNAL",
              "applyUrl": null,
              "companyName": "Capgemin…",
              "companyUrl": "https://…",
              "contractType": "Full-tim…",
              "description": "Insights…",
              "descriptionTruncated": false,
              "experienceLevel": "Mid-Seni…",
              "id": "44656591…",
              "location": "Prague,…",
              "postedDate": "2026-09-…",
              "postedTimeAgo": "3 weeks…",
              "salary": null,
              "sector": null,
              "title": "Databric…",
              "url": "https://…",
              "workType": "IT Servi…"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "limit": {
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "location": {
                      "maxLength": 500,
                      "type": "string"
                    },
                    "posted": {
                      "enum": [
                        "24h",
                        "month",
                        "week"
                      ],
                      "type": "string"
                    },
                    "query": {
                      "maxLength": 500,
                      "type": "string"
                    }
                  },
                  "required": [
                    "query"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-16T04:15:50.136Z",
    "quality": {
      "l30DaysTotalCalls": 23,
      "l30DaysUniquePayers": 6,
      "lastCalledAt": "2026-10-16T04:16:49.765Z"
    },
    "resource": "https://agdata.shveik.dev/x402/linkedin-jobs",
    "serviceName": "agdata",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "LinkedIn jobs search API for AI agents: send a job title or keywords and an optional location and get up to 50 public job listings as JSON: title, company, location, posting date, employment type, seniority, salary when listed, the listing's URL and its description. Filter by how recently a job was posted. Recruiter names are not returned. Jobs you paid for but did not get are refunded."
}

What the leaf hashes

{"body":"2106c6519c5e1dc11c2fd96562d5d647eb132a41c5d83f857db06af0d9a5457b","id":60801,"kind":"listing","method":"baseline/1","observed_us":1793025449332787,"prev":null,"subject":"x402_bazaar:https://agdata.shveik.dev/x402/linkedin-jobs","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. 0x1aecb7fcf5a680339248ef0dcc67758f40240f6e01134b764c36a6ef1aef2d3a
  2. 0xe7c5aed5109608cf315d79a9946f89743814d4998b2292c3a363c3d2dcb21054
  3. 0x8dddb0e01f6409470a187b769314a149fb61749e7c5d8cc3997481fd11cf5b8d
  4. 0xc724ce1a699fc4e3dcd62407bd8eb011b6ff347eadb78102977c267890e73ab8
  5. 0xd2af28bc13abe407c58e7603ab863867992b9bfc77f1a2554390d2a2c42a4d23
  6. 0x1b8675ce8e57c6fc3b79b2daefdc952c8f5d13e481d9e906afaef68799dc17c5
  7. 0x1d255cd70f61245f27d3225c50c663364b989996103f86fbaeb1202399ed96af
  8. 0xb0712b8f277746a988c4c4a3ca70eedf3eb23f62baebf934318ee2510de73ecd
  9. 0xb577595b61e1e48ff12b58bfbdbf34f209ad0e31def1ecd8c2a7e7feb0ec8ff4
  10. 0x850c26c367ed4b0c237a13380d2cdbeae58800e68a9d29b45c6c1d339228de2a
  11. 0x3f914e3a1f6c506299e42b0c551da50ec7ac2c0f0e69260eab2262111b4eb14b
  12. 0x7ab2e7902b312a74cfdbc32b2906ced29b1fb9dc4280b5378e8eb181ad88686e
  13. 0xe00c7829e46541e49a308807d357db902e06eff941a833217a8f0dbccd3964f1
  14. 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
  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