addrbookFor publishers
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Evidence row 1765953

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint f5fe0f30-3757-4a9c-85de-75d8656efdb6
Recorded
Previous row
#1478363
Body SHA-256
49cf47655b802d0d6750b001ea42b5dc28c7c2a1ba99a9b6734c29ebe5864fac
Leaf
0x50e53ab889567e5e67bcbb1d3d688bf6bd92a81c27f3152bbca508676b2b6d60

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "One sentence in Turkish or English (2 to 200 characters), read as filters and niche words; the best candidates are then scored for relevance (detailed mode, 10 to 20 seconds). Returns the count and up to two strong matches as open cards, each with a relevance score from 0 to 100, the niches that matched, and an overall score (0 to 100, fixed scale, shown beside relevance; cards are ordered by relevance, ties by overall); sometimes one or none. The ranking field tells how they were chosen. An optional safety object (flagged true, reason filtered or sensitive_condition) says details were withheld for privacy or safety; it never repeats the words.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "sentence": {
            "maxLength": 200,
            "minLength": 2,
            "type": "string"
          }
        },
        "required": [
          "sentence"
        ],
        "type": "object"
      },
      "name": "ai_search_influencers"
    },
    {
      "description": "Reads one public Instagram account live and returns dated, counted metrics: followers, engagement rate over the latest items with n, average likes and comments, median Reel plays, posting frequency, Stories seen now, last post. Public accounts with 10,000+ followers. Not a score. Limited daily. Accounts Starlecta tracks every day show more in lookup_influencer.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "handle": {
            "description": "Instagram handle, with or without @",
            "pattern": "^@?[A-Za-z0-9._]{1,30}$",
            "type": "string"
          }
        },
        "required": [
          "handle"
        ],
        "type": "object"
      },
      "name": "audit_influencer"
    },
    {
      "description": "Two influencers side by side on the same method and dates: followers, engagement rate and an engagement band.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "a": {
            "description": "Instagram handle, with or without @",
            "pattern": "^@?[A-Za-z0-9._]{1,30}$",
            "type": "string"
          },
          "b": {
            "description": "Instagram handle, with or without @",
            "pattern": "^@?[A-Za-z0-9._]{1,30}$",
            "type": "string"
          }
        },
        "required": [
          "a",
          "b"
        ],
        "type": "object"
      },
      "name": "compare_influencers"
    },
    {
      "description": "Public card of one Instagram influencer Starlecta tracks every day: tier, category, rounded followers and the measured engagement rate with its date. Status is open, tracked or not_listed.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "handle": {
            "description": "Instagram handle, with or without @",
            "pattern": "^@?[A-Za-z0-9._]{1,30}$",
            "type": "string"
          }
        },
        "required": [
          "handle"
        ],
        "type": "object"
      },
      "name": "lookup_influencer"
    },
    {
      "description": "Count of matching influencers and up to two open cards. Filters: category code, tier (nano, micro, macro, mega), follower bounds, measured engagement only.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Category code, e.g. beauty, fashion_style, tech_business_education",
            "type": "string"
          },
          "er_measured": {
            "type": "boolean"
          },
          "followers_max": {
            "type": "integer"
          },
          "followers_min": {
            "type": "integer"
          },
          "tier": {
            "enum": [
              "nano",
              "micro",
              "macro",
              "mega"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_influencers"
    },
    {
      "description": "What influencers share in the last 7 days: rising hashtags with post counts, and the most shared products, platforms and brands with share counts. Aggregate counts only; no key needed.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "trend_cloud"
    }
  ]
}

What the leaf hashes

{"body":"49cf47655b802d0d6750b001ea42b5dc28c7c2a1ba99a9b6734c29ebe5864fac","id":1765953,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793537835515210,"prev":1478363,"subject":"f5fe0f30-3757-4a9c-85de-75d8656efdb6","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (302406 rows).

  1. 0x50e551af3f417fd032291e5dc342ebc1dc6e3373cd54ff1170d8f44d5f4aa272
  2. 0x0a2399952c15097af0e5b51bb567fe2fe8863ea0a6ff6b7152212f07b99bb019
  3. 0x194dfdca14922ba64ab93ad17518d904c5861fe2dae5528ae757eccdf7c96d6e
  4. 0x8c5ec5eaf5708ed1fb303666f4908ffd2ea5a330e9f5d0060c1a0ecdeb45ea6b
  5. 0x39db5a7afaadd850c207fdf0404938daf9c3288dfeadd84ea5ff7152884a7d87
  6. 0x0b470791cbbdc34d09ff2cf43adccc6633f2061300b0487d1b9a2ad643d63682
  7. 0xfe4eaf6edb905fe0b21155f82eb7574caa0662f50d61213e07fde3ab66e14d03
  8. 0x6542549527e7dc90388c8318f7c670e2fa17a53ca2ccb4a30925084977c4b6a1
  9. 0xc675427ff55e2284dfd4bc5187b2bc0de3a293ad80f90a0d98fe581d755b8bc5
  10. 0x8035596ffcc2918254cb918a77dcf525194796fe1b56d95b4943ee1b1976570c
  11. 0x10febd51cf7dfc486b90d8476111abd3717e8453c7b2a9466f432b76b99685b0
  12. 0x21938c6c946f4b4fbc9debe25f5efc2591234f62b5e79a54d3dc9abe2154cc21
  13. 0x61ea1522e2a8dd1dbb4a7f6b4b6b4e9d2d75dad9c43bbf8d014ad3d2e55a77e7
  14. 0x4dd56cbe7671c2bd3ac1c5d78e38f1cd1c8a879b29f9a6a5b8a22555a3aedcd2
  15. 0x0e3f78943343406ddd3828dd4ca4b5a188e80ffe3ac87d64d979448ee11c1cc5
  16. 0x00ec7149eb024693951d82cb635dfa183f4f34dae011e77ba0420a38a378e0aa
  17. 0x97f6f39e601b6ef0e47b730aa0488b718c0d7882ad840342bbd7d3a705a1b3a2
  18. 0x1973893697931b7512ae5dc1a3c92ef92f633ae3574dce9029a35b5e94d2d364
  19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
Day root
0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
Chained
0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
Published
On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90

How to check it · This row as JSON