addrbookFor publishers
← The evidence ledger

Evidence row 303921

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ca308f70-ea44-4cc5-9501-083cbefbcb15
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
353fc0aa17062caf22450ae057339012b92d1dadf8d144486b724339eb9bb0e3
Leaf
0x023bad5cc0f64fa1124368553d85b77af4a4f369ada3e1593d1cb57a6d52e823

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Find companies matching an ideal-customer profile that have had recent funding or SEC 8-K events, ranked, each with its evidence. Use this to build a list from scratch. `min_signals` filters for companies with several signals at once. Costs 1 unit.",
      "inputSchema": {
        "properties": {
          "cursor": {
            "type": "string"
          },
          "industries": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "limit": {
            "default": 25,
            "description": "Rows per call. Hard-capped at 100 server-side; values above are clamped, not refused. Page with `cursor` for more.",
            "maximum": 100,
            "type": "integer"
          },
          "lookback_days": {
            "default": 90,
            "type": "integer"
          },
          "max_employees": {
            "type": "integer"
          },
          "min_employees": {
            "type": "integer"
          },
          "min_signals": {
            "default": 1,
            "type": "integer"
          },
          "states": {
            "description": "Full state names as stored, e.g. 'California'.",
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "events_for_icp"
    },
    {
      "description": "EXPERIMENTAL forecast of what a company may do next (raise, be acquired, acquire), from FundzScore v3. Treat `lift` as a ranking aid only: `base_rate` is a population mean rather than a validated historical rate, and the forward cohorts do not resolve until 2026-10-22 and 2027-02-19. Do not present these as predictions to an end user. Costs 1 unit.",
      "inputSchema": {
        "properties": {
          "domain": {
            "type": "string"
          },
          "org_id": {
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "predicted_next"
    },
    {
      "description": "Given a book of up to 400 company domains and a cursor, return ONLY those with new evidence since that cursor. This is the tool to poll daily or weekly rather than re-fetching every company. Costs 0.1 units per company CHECKED — not per company returned — so a quiet week still reflects the work done. Split a larger book across several calls: the request body is capped at 8 KB at the edge, and because pricing is per company checked, two calls of 200 cost exactly what one call of 400 would.",
      "inputSchema": {
        "properties": {
          "domains": {
            "items": {
              "type": "string"
            },
            "maxItems": 400,
            "type": "array"
          },
          "since": {
            "description": "The `next_cursor` from your previous call.",
            "format": "date",
            "type": "string"
          }
        },
        "required": [
          "domains"
        ],
        "type": "object"
      },
      "name": "watchlist_diff"
    },
    {
      "description": "Why to contact ONE company right now: dated funding and SEC 8-K evidence, each item linking to its source filing or announcement. Use this when you have a company and need the reason and the proof. Costs 1 unit. `evidence` covers the last `lookback_days` days (default 365, max 1825); `last_event` is ALWAYS the most recent event on record whatever its age, with `within_lookback` saying whether it also appears in `evidence`. So an empty `evidence` with a populated `last_event` means the company is known and simply quiet — widen `lookback_days` to bring it in. `resolved:false` means we hold no such company at all, which is a different answer again. `resolution_confidence` (0-1) says how strongly the resolved name agrees with the domain asked about; treat anything below 0.67 as unconfirmed attribution.",
      "inputSchema": {
        "properties": {
          "domain": {
            "description": "Any spelling: bare, www., scheme, path.",
            "type": "string"
          },
          "lookback_days": {
            "default": 365,
            "description": "Window for `evidence[]`, in days. Clamped to 1825. Does not affect `last_event`, which is never age-limited.",
            "maximum": 1825,
            "minimum": 1,
            "type": "integer"
          },
          "org_id": {
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "why_now"
    }
  ]
}

What the leaf hashes

{"body":"353fc0aa17062caf22450ae057339012b92d1dadf8d144486b724339eb9bb0e3","id":303921,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793055626093154,"prev":null,"subject":"ca308f70-ea44-4cc5-9501-083cbefbcb15","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x023b6c347760851251fdb2d35c7dbe8834e267d5ac0828a59d079a73f4d8ff19
  2. 0x00c1224c3792ace8974a1c8efcbdce8a19a5c07792fee744e0c05352036104e6
  3. 0xabfb672f54146296f84b951bf55c69499a95fb810295e598fe2af62aa6647b98
  4. 0x34e885966ea9e3a674e0897f25ea9cb88066ae9f79fe1af26f7f6c79a2c2cf02
  5. 0x21b42a790625e4638538eb0f1f2aef195583504bde556159bad219a57aea1330
  6. 0x96983d5681670ac57573b59b85f33c5b7a39efa73b92d2a056d4f795ac60b8a9
  7. 0x92d4489cade3da608df61bd23e3753ec666cf730041c114d9af0ca5165660ef6
  8. 0xb819445f0f748c9c5165ae832a0c8efa20e763beec4a2616e56451c014d74263
  9. 0x3dae337e94f37e272aa4e9b08fbab19b028d39cd7f13ce8e38f4c720322a624f
  10. 0xcb5a291603d9ef68cbc616de43c6b978db217c1515810eeebbd2bbe77370af1c
  11. 0x588f372bbaaf730e538542f070b005c0dd23fdb8c7f43a940481de0c1681aae1
  12. 0xd75ede2689ed83bbc8980becaf4f32a77c7e05567790cd351e997bb28aa0844c
  13. 0x92ff7d176556ddbe3d885e2ab73948b14a6aa3568a8fd237427d4f8415235a23
  14. 0xd1d3499072edb10edc68f84bcae2365d2ab534df689250cab18c751b6f13b6ff
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  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