addrbookFor publishers
← The evidence ledger

Evidence row 518650

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 842c1c58-abf1-454f-8686-cba9b03c72f4
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e96c1776616b6e52fda5e41e2a30f8a0d0c8dc6c59615c3837d4701cee1bc3a6
Leaf
0xe3790bf1ec50f83f52b69950c40e5afb370022241b314e915808f5ae436c29a6

What was observed

{
  "count": 14,
  "tools": [
    {
      "description": "Use this paid read-only tool for deterministic grouped statistics instead of downloading rows and calculating locally. Returns bounded count, sum, average, minimum, or maximum groups with dataset provenance.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset_id": {
            "type": "string"
          },
          "field": {
            "type": "string"
          },
          "group_by": {
            "type": "string"
          },
          "metric": {
            "enum": [
              "count",
              "sum",
              "avg",
              "min",
              "max"
            ]
          },
          "top": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "dataset_id",
          "group_by"
        ],
        "type": "object"
      },
      "name": "aggregate_imported_dataset"
    },
    {
      "description": "Use this free operational tool to decide whether available public-data coverage is sufficient or whether to request a missing capability. Returns discovery, materialization, queryable-row, queue, failure, and freshness counts.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_coverage_status"
    },
    {
      "description": "Poll a durable materialization job. A complete result includes the query-ready dataset ID plus free sample and paid query URLs.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "materialization_id": {
            "pattern": "^job_[a-f0-9]{24}$",
            "type": "string"
          }
        },
        "required": [
          "materialization_id"
        ],
        "type": "object"
      },
      "name": "get_materialization_status"
    },
    {
      "description": "Use this free tool when an agent needs only datasets that can be sampled or queried now. Returns fully published warehouse snapshots with dataset IDs, row counts, freshness, and provenance.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_imported_datasets"
    },
    {
      "description": "Use this free tool to inspect which federal, state, city, police, education, and other official source scopes AgentNative currently covers. Returns each source's importer, discovery state, and materialized coverage; it does not return dataset rows.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_official_sources"
    },
    {
      "description": "Use this paid read-only tool after sample_imported_dataset confirms the data is suitable. Returns up to 100 normalized rows from a published snapshot with bounded pagination, one exact-match filter, freshness, and provenance.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset_id": {
            "type": "string"
          },
          "filter_field": {
            "type": "string"
          },
          "filter_value": {
            "type": "string"
          },
          "skip": {
            "maximum": 5000,
            "minimum": 0,
            "type": "integer"
          },
          "top": {
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "dataset_id"
        ],
        "type": "object"
      },
      "name": "query_imported_dataset"
    },
    {
      "description": "Use this paid read-only tool when the free Federal Register briefing is insufficient. Returns up to 100 normalized official records filtered by date or document type, with deterministic provenance and direct source URLs.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "end_date": {
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "start_date": {
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "top": {
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "type": {
            "enum": [
              "NOTICE",
              "PRORULE",
              "RULE",
              "PRESDOCU"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "query_us_federal_register"
    },
    {
      "description": "Use this state-changing tool only when existing discovery and coverage tools cannot satisfy the task. Records demand for a missing dataset, aggregation, insight, filter, freshness level, or export; repeated requests increase autonomous build priority.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "capability": {
            "enum": [
              "dataset",
              "filter",
              "aggregation",
              "insight",
              "freshness",
              "export"
            ],
            "type": "string"
          },
          "dataset": {
            "maxLength": 100,
            "minLength": 2,
            "type": "string"
          },
          "example_query": {
            "maxLength": 240,
            "type": "string"
          },
          "source_url": {
            "format": "uri",
            "type": "string"
          }
        },
        "required": [
          "dataset",
          "capability"
        ],
        "type": "object"
      },
      "name": "request_capability"
    },
    {
      "description": "Queue a discovered official dataset for prioritized detached ingestion. This free idempotent operation returns a durable job ID; poll get_materialization_status until it supplies sample and query URLs.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "discovered_dataset_id": {
            "description": "Exact catalog ID returned by search_discovered_datasets.",
            "pattern": "^disc_[a-f0-9]{24}$",
            "type": "string"
          }
        },
        "required": [
          "discovered_dataset_id"
        ],
        "type": "object"
      },
      "name": "request_dataset_materialization"
    },
    {
      "description": "Use this state-changing tool only after free samples demonstrate value and the human owner approves payment. Creates a Stripe Checkout plus one-time claim URL; choose the $5 pass for research or $5/month subscription for recurring workflows.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "plan": {
            "default": "pass",
            "enum": [
              "pass",
              "subscription"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "request_paid_access"
    },
    {
      "description": "Use this free tool to evaluate a query-ready official dataset before paying. Returns three normalized rows, deterministic summaries, freshness, and provenance; use query_imported_dataset only after the sample proves useful.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset_id": {
            "description": "Exact query-ready dataset ID returned by list_imported_datasets.",
            "type": "string"
          }
        },
        "required": [
          "dataset_id"
        ],
        "type": "object"
      },
      "name": "sample_imported_dataset"
    },
    {
      "description": "Use this free no-auth tool for current US regulatory activity or to evaluate AgentNative before paying. Returns three Federal Register records plus deterministic aggregates over the latest 25 documents, direct record URLs, provenance, and rate-limit status.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "sample_us_federal_register"
    },
    {
      "description": "Use this free tool to find datasets across all discovered official sources, including candidates not yet queryable. Returns catalog matches and materialization state; use list_imported_datasets when only query-ready data is acceptable.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "description": "Maximum matches to return; defaults to the service limit.",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Optional title or description keywords.",
            "maxLength": 100,
            "type": "string"
          },
          "source_id": {
            "description": "Optional exact official source ID returned by list_official_sources.",
            "maxLength": 100,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_discovered_datasets"
    },
    {
      "description": "Use this free tool first when an agent needs official US federal data but does not yet know the dataset ID. Searches normalized catalog metadata and returns matching datasets with provenance; it does not query dataset rows.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "query": {
            "description": "Plain-language topic, agency, or dataset keywords, such as employment, schools, or air quality.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_public_datasets"
    }
  ]
}

What the leaf hashes

{"body":"e96c1776616b6e52fda5e41e2a30f8a0d0c8dc6c59615c3837d4701cee1bc3a6","id":518650,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793121776911965,"prev":null,"subject":"842c1c58-abf1-454f-8686-cba9b03c72f4","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. 0xe378c982c76d7e466dfdac2f10fa6cb4e20cfe6121b9df258659a47c8288b0c8
  2. 0xd2238deeff4c4e546ec5f9cef1f84b1a20ae62c36e150e4e9e766947baa09e93
  3. 0x4fd9ac392cc37319d54d4c6fe096a2cc70b121aaa42747dd398f1b34bdf1c7c2
  4. 0x64cb95cfa4e58dae9178d39452afe8764dd63129d0c0483593645d9a9542e696
  5. 0x1e6c5b53a42de145919857b7a2d180c442aa33bfad0b98723db89b5cfd489888
  6. 0x80cd621c21ce8cc7883fa11ee4110b3ef97a896daebad9e273fed902267563cc
  7. 0xfa18c3228f27fe150c01ffb941c2c0895a1026e13e0b9d405bcdfa80e219e6c0
  8. 0x6d19a9ddf0f02c3abf43cf7581c511efc3a97dea4391af6fbed35d6dfe370393
  9. 0x49c40695f84909730d9feb5f9c2cd7f77245a4d1170012f340e3d5873e18714e
  10. 0xc2ea5f7f3b161db666605a0ba7963b487b9547a05b28f8b23fc1a9f437bfcd45
  11. 0xb44c2942ddb3464f2b2c770afdcadc509526756e35fc6b54cbe05f81f7639529
  12. 0x46ff3840378aba3ab5311ff9a58e7269ceff45cbef540c18a2bad9af3d6127bb
  13. 0xd98ea318b514153f74841c90aff18a807e61314ec99610bf3bdbb7219da01cbd
  14. 0xf72dee7a0c7534cb19ede4959b957b00c0a8285c36ad49dd2ce1c1092bf60d93
  15. 0x24e3e2bb8ee1e8d20756de35f0e0c4ec8eb1f193bd2cf3f077ee1f92f211c34d
  16. 0x8745bd887f5ce9f7a49558fd2b04cdcd97a05ea9f8a23f62d0e80cb13d328b0f
  17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON