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Evidence row 565437

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 6cdadf92-9a5b-49fa-88de-f23995890aed
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
90d8c0daee105bf4b91d3371483544d6433bdec9699f768fd634ac015bca3da7
Leaf
0x5e2a18669d47150390b8d09c909a05513b5071e31016b33dcaa0f20c7f89075a

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "List the ATS and job-board sources JobsPipe normalizes into a single JSON schema, with coverage and freshness notes.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "name_contains": {
            "description": "Optional case-insensitive substring to filter sources by name (e.g. \"workday\").",
            "type": "string"
          }
        },
        "required": [],
        "type": "object"
      },
      "name": "list_job_sources"
    },
    {
      "description": "List JobsPipe pricing plans with monthly price in USD (and the yearly price, two months free), monthly job quota and included features.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "plan": {
            "description": "Optional plan name to return just one plan (e.g. \"free\", \"credits\").",
            "type": "string"
          }
        },
        "required": [],
        "type": "object"
      },
      "name": "list_pricing_plans"
    },
    {
      "description": "Search live, normalized job postings across 30+ sources by title, skill/tech, country, remote, seniority, employment type and recency. Returns real matching postings -- title, company, domain, location, salary range, tech stack and apply URL -- capped at 3 rows per call on this no-key server, with whether more match and the REST call that returns the rest (and the exact count).",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "benefits_or": {
            "description": "Match jobs advertising any of these benefit slugs, e.g. 401k, health insurance. Coverage is partial.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "city_or": {
            "description": "Whole city names, e.g. London, Munich. Case-insensitive; a metro wrapper on the stored value is ignored. Spellings and diacritics are normalised for cities we know (München finds Munich, Cracow finds Kraków); other cities match the stored value exactly.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "description_or": {
            "description": "Match any of these skills or technologies in the posting.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "employment_type_or": {
            "description": "Match any of these employment types.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "esco_skill_id_or": {
            "description": "Match jobs tagged with any of these ESCO skill concept IDs (exact match).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "has_recruiter_email": {
            "description": "true for only jobs with a recruiter contact email parsed from the posting, false for only jobs without one.",
            "type": "boolean"
          },
          "include_unlabeled_employment_type": {
            "description": "Also return jobs whose employment type is unknown. About 27% of postings do not state one, and employment_type_or excludes every one of them by default.",
            "type": "boolean"
          },
          "isic_division_or": {
            "description": "ISIC Rev.4 employer industry divisions (2-digit, e.g. 62).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "job_country_code_or": {
            "description": "Match any of these ISO 3166-1 alpha-2 country codes.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "job_location_or": {
            "description": "Match any of these cities or regions, e.g. Seattle, WA. Metro wrappers are stripped (Greater London also matches London) and a state, province or UK nation by name matches every spelling of it (Pennsylvania also matches PA). Terms of three characters or fewer are codes or exact names and match whole values (WA is Washington state, never Iowa); a country code or name matches the whole country. For a city by name, city_or is the precise filter.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "job_seniority_or": {
            "description": "Match any of these seniority levels.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "job_title_or": {
            "description": "Match any of these job titles.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "language_not": {
            "description": "Exclude postings written in these languages, as lowercase ISO 639-1 codes, e.g. [\"fr\"]. Unlabelled postings are kept.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "language_or": {
            "description": "Languages the posting is written in, as lowercase ISO 639-1 codes, e.g. [\"en\"]. The language of the posting text, not the country: 18.3% of Swedish postings and 17.7% of German ones are in English. Unlabelled postings never match.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "limit": {
            "description": "Maximum rows to return.",
            "type": "number"
          },
          "max_applicant_count": {
            "description": "Only jobs with at most this many applicants. Counts exist only where the source exposes them (LinkedIn), so this also drops every job without a count.",
            "type": "number"
          },
          "max_ghost_score": {
            "description": "Exclude jobs whose ghost-likelihood score (0-100) exceeds this. Unscored jobs always pass.",
            "type": "number"
          },
          "metro_code_or": {
            "description": "Match any of these US CBSA metro codes, e.g. 35620 for New York. Non-US jobs never match.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "min_salary_usd": {
            "description": "Only jobs whose posted salary reaches this annual USD amount. Jobs without a posted salary never match; estimated salaries are not consulted.",
            "type": "number"
          },
          "occupation_code_or": {
            "description": "ISCO-08 occupation codes; 4-digit exact, 1-3 digit as hierarchy prefix.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "posted_at_max_age_days": {
            "description": "Only postings published within this many days.",
            "type": "number"
          },
          "region_or": {
            "description": "US states and Canadian provinces as ISO 3166-2 codes, e.g. US-NY, CA-ON. Matches every spelling a job board publishes, so CA-ON finds both ON and Ontario. More precise than job_location_or for a state or province.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "remote": {
            "description": "Only remote roles when true.",
            "type": "boolean"
          },
          "skills_or": {
            "description": "Match jobs tagged with any of these skill slugs, e.g. python, kubernetes.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "visa_sponsorship_or": {
            "description": "Match any of these visa stances parsed from the posting text: offers, no, citizenship_required. Jobs that say nothing never match.",
            "items": {
              "enum": [
                "offers",
                "no",
                "citizenship_required"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "work_arrangement_or": {
            "description": "Match any of remote, hybrid or onsite. Finer than remote, which answers false for hybrid and onsite alike. Jobs whose arrangement is unknown never match, and coverage is still backfilling, so this returns far fewer results than expected today; remote is the reliable filter for now.",
            "items": {
              "enum": [
                "remote",
                "hybrid",
                "onsite"
              ],
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "job_title_or"
        ],
        "type": "object"
      },
      "name": "search_jobs"
    }
  ]
}

What the leaf hashes

{"body":"90d8c0daee105bf4b91d3371483544d6433bdec9699f768fd634ac015bca3da7","id":565437,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138157752546,"prev":null,"subject":"6cdadf92-9a5b-49fa-88de-f23995890aed","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x5e2a600a5d0e056b351a99c3a31629cd63de78d9e96d25d35f68a9004b889af1
  2. 0xa52c1351f046e20793fc55e079e2bbe0ecfae5f3ff5359980aa354d14010510e
  3. 0x7b255dcb3dae3001feb2d1739565c097e3d85ba9d2659a8a752dcb53102f8edd
  4. 0xbb90b4054d97ecd62aa281b00c6620d1425ec5dffb744709736c0f50ce65a128
  5. 0x86f9e702aba0f0abb8155de8a257c2278889440aedad4c81ed890513ca392fa3
  6. 0x8fe8eab25179a8b44336a2da647ad70e7867e54dd780023789b59afa78da2d33
  7. 0xea202615dbaad4f5f0d81ac221a3cbcd8e4d87361956bb02b338a8c42b506211
  8. 0x6f406f6072ec938c4793460621b60f23d769e2362c5da00cec57dc6515f4b24e
  9. 0xefbb365fabba2a5eaf4c226f4de46158270aef6a7adbd0ee37151fa9eea478a7
  10. 0x4c809ee5c098ea4ab0c676ab9598d1571f69c85b9cc2be67f31fb007be058b56
  11. 0x6a8800f5c72539b8ecaf35e93ccea9609b976b2b3da75c06b7295d8e7d5f176e
  12. 0x548136c1e3ccb412bb6e8b0e92df8bd9db651531331fa2a46332b9c2956172f5
  13. 0xeaf6b21867367f85a965f982b6593c42eafe4fdf74e94b675523a6478de49a54
  14. 0x4277e02be0b5d91d78bc2247e37d402572474ba896c2e8f45765c8dc4e244d36
  15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
  16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON