addrbookFor publishers
← The evidence ledger

Evidence row 2035045

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint f5fe0f30-3757-4a9c-85de-75d8656efdb6
Recorded
Previous row
#1765953
Body SHA-256
65b6f515adbe58da0270bcce88719c0710266dcfd5472226aa60df519b74b8d0
Leaf
0xef613c8700299f240b0187132efd8222fa6aa42b28d7d5c14c48a7796fcd7dec

What was observed

{
  "count": 7,
  "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, about 30 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, then measured engagement, then followers); 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}$",
            "type": "string"
          }
        },
        "required": [
          "handle"
        ],
        "type": "object"
      },
      "name": "audit_influencer"
    },
    {
      "description": "The brand or shopping platform of the day on Instagram in Turkey: last week's creators and contents against the week before, share of the conversation against its rivals, the head-to-head with rivals (Reel plays, likes and comments, average creator quality) and who it reached (gender, age, city, two top interests). Aggregate figures only; no creator is named. Optional day (YYYY-MM-DD) returns an earlier day. No key needed.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "day": {
            "description": "A day, YYYY-MM-DD; the latest day when omitted",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "brand_of_the_day"
    },
    {
      "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":"65b6f515adbe58da0270bcce88719c0710266dcfd5472226aa60df519b74b8d0","id":2035045,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793585826114707,"prev":1765953,"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 (444186 rows).

  1. 0xef610e940f10b9222c9551f4f5e8dad2acdb5cb236a408ff09d2a81d764c7d15
  2. 0x269e5391278200c913e10c867905c68cd54b807b0ce0429ae81671e1ffe7cc6e
  3. 0x96a233b78c4306819a4b7bc48e289c66cd4164140a74b192fb3a564251c1b919
  4. 0x6b7f4e59138234573de978b96d4db0e7f986db9129e6ebb603e265151e00965f
  5. 0x918cbc441f76c240789801f6f3e90efd1dbccaa0cb5eac05e40c5795aba7745f
  6. 0x3f8813fb4e515eaccd69c8d0d8ee974d2485f2ae2c6a6fa00ca48de9c8a230c3
  7. 0xbe3d400c5434b2d37d5183098cdd0be213ddd76bc3b3c3e592d8af6b0a998bcc
  8. 0x7df32d47b20912c93f7125909c124f79077a078692faa1419e2132ed83b7a264
  9. 0x383723e20a1ee6f6f0f33c7f00e5564a44b1895dd1e56ab0e51596ee63621d34
  10. 0xab03d04b586059ef41ac16ea17806b7fc52066e0cdd59d2db2e19895b68faa70
  11. 0x40ff1fdcd3023ebf3a2d65350c5559fb9898da453610ee6cd3fd3b146a2aa2c3
  12. 0x244e5498c1a18cb79272c8888907c216b04d0ef4381a107b2d329eb22383048b
  13. 0x6a66db154e32d45aa1f1ce72719d9372fd5cdf4add16d249006bd3cdb0f7c074
  14. 0xbb465466dac90179fd91fd4d3b6985e80736d1ab4662dc57a78b5e5098d6f074
  15. 0xde6a8fd6590b70565baa6078cbc8add8d94950fe959ebaf8c3716adcdbd78aa8
  16. 0x6dd7e4db65395e8670c7c2747d44fec79e03305934ef4746bf5dbca04ec6ec49
  17. 0xec5d643575d83c9e07e65deeef71943b53cbf3007e7e2b9a6ef414081509b0cc
  18. 0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON