Evidence row 301959

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "How many AI training jobs are open right now, how many were listed in the last 7 days, and the open roles by kind of work and by platform (with each platform's slug for search_ai_training_jobs). Optionally scoped to the roles open to applicants in one country.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "ISO 3166-1 alpha-2 code (e.g. 'US', 'KE'): count only roles open to applicants in that country.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_ai_training_market"
    },
    {
      "description": "What AI training work pays per hour today, by kind of work: the median and the typical range (25th to 75th percentile) of the rates open roles advertise, with how many rates and platforms each figure comes from. A rate is shown only when at least three platforms advertise it.",
      "inputSchema": {
        "additionalProperties": false,
        "type": "object"
      },
      "name": "get_ai_training_pay"
    },
    {
      "description": "Search the open AI training jobs (paid work training and evaluating AI models) across 57 platforms such as Mercor, micro1, Outlier, DataAnnotation, Alignerr and Invisible. Returns each role's title, platform, kind of work, advertised pay, where it is open and a link to apply on AITraining.jobs. All filters are optional.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "ISO 3166-1 alpha-2 code (e.g. 'US', 'IN', 'BR'): only roles open to applicants in that country.",
            "type": "string"
          },
          "kind": {
            "description": "Kind of work. One of the listed slugs, e.g. 'coding', 'rlhf-eval', 'multilingual'.",
            "enum": [
              "rlhf-eval",
              "coding",
              "stem-math",
              "domain-expert",
              "agentic-eval",
              "data-labeling",
              "robotics-data",
              "multilingual",
              "audio-speech",
              "writing",
              "red-teaming",
              "research-studies"
            ],
            "type": "string"
          },
          "limit": {
            "default": 10,
            "description": "How many roles to return (1 to 25).",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "min_hourly_usd": {
            "description": "Only roles whose advertised hourly ceiling reaches this many US dollars.",
            "maximum": 1000,
            "minimum": 1,
            "type": "integer"
          },
          "platform": {
            "description": "Platform slug, e.g. 'mercor', 'micro1', 'outlier-scale-ai'. get_ai_training_market lists them.",
            "type": "string"
          },
          "query": {
            "description": "Keywords matched against role titles, e.g. 'physician', 'Python', 'Spanish', 'lawyer'.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_ai_training_jobs"
    }
  ]
}

What the leaf hashes

{"body":"5019a72ab640331cb979d2d91490817717e58f5dcb0724af02fd11285410864e","id":301959,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793054382317261,"prev":null,"subject":"ef4b952a-5d4b-48cf-9a26-6218c712a8ba","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x371461453683518e55f8c1bbc01709b79a359ff39ee285e1a4fe7908489d8a48
2. 0xe66e6205a817e1d45fc1cab1e08132c27cb9cd4b39549972532f55c758fb5595
3. 0x865dc0338e507f0fdf2fcd03a4f8e867c75c37636bef163bc71e414a26184c4b
4. 0xcd94a4fa8f7e2c5722c7820b72a35ddbc77e6a0610732f6268d5d1e034d78d19
5. 0xfaf77e63325c530d9eaba599178a0fc12a1b14addb4e5d46c4fe80c20f4145cd
6. 0x779962816939f80817e77695c8e20efb7ea895d2dada2f568853ca24c5c7ba9d
7. 0xe33c31be9962dbf13551b2b3d9cce95add0267bf071a88e4d505a79c6d112d76
8. 0x9acb7560c9b2c7d71e1e733b932a61b5bb4e923a2b7c33783f07157e38e8e05f
9. 0xccde764a9dad94e012262c23cb26faf6ab3ad6398eb6de621d7359132d68c0af
10. 0x8681b8a904a71605e6e13e7c5c8ece78e783c5629075c54dc57234a15410c0d8
11. 0x92b5da9306740c6310c9590169e789efc810ad3fa152b365777b6395fec4767f
12. 0x8b23d34f6cd746f123b1e4d09449280800a81e00febe1fd9224b6802057238d5
13. 0xdfc7a920beab71e6882e75c57bf136a5354c4ea989a35108a69046bc62059090
14. 0x4338355a835617a26aa0bfcc971e84eb030d84e2aa840e3c8af958921dd080c7
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae