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Evidence row 1478363

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint f5fe0f30-3757-4a9c-85de-75d8656efdb6
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e255f9ee078dbc83e35a1772d5e80ccf96d6752680dca229d3e73fc21a64d9c5
Leaf
0x8279d4dd9aec6133be890ae7534f33e8606584e7efb66f2abcd267d24dec9479

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 and the niches that matched; sometimes one or none. The ranking field tells how they were chosen.",
      "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":"e255f9ee078dbc83e35a1772d5e80ccf96d6752680dca229d3e73fc21a64d9c5","id":1478363,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793426619086426,"prev":null,"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 (246033 rows).

  1. 0x827a132367b3dfda9b8037910e7dda0fb26b5498a845ec07a19bff08936f529a
  2. 0xc37d74f13c56c095a76cbc0013008d28cf4d0f40204af3cb87c6d19e1ece5f85
  3. 0x5bbc7d769f29671d99688948d3a0603260f8c05108c56ce56b2dfcf087b444b8
  4. 0xe9396f9f495971d7c755b668cdaac8dc9e6060275691d3b6a0eda14bcfe6d06b
  5. 0xccbf2da5ff40cdc31321b99b97218e1586d8045aff84b8d99ca1f50fa6dfd709
  6. 0x4e6e2a195576e670a73a6dc3e9a7b045ce16caae269454785f83f0b8aaf64fca
  7. 0xf359627155a6331d4fada367e5eb34b1849dc0faed961f18e763d675449dfdfe
  8. 0xb8b43163bb28adde06b3f59e34aa3c51cb3e099c348fc29a8f8cf7342b507015
  9. 0x4922e921177a2f8fec058d814909e46617574ca1dfaf317b0c0014445f864a74
  10. 0xbe59de5c96634fe6fb1d1f5069d26bf51c49331faafd797d5b83e0ba09354387
  11. 0x09ec4da117ab449852868d99c1e8c7d8832c7c9bdcea652f270d256a500b8102
  12. 0xed97fcd52d7537aec306677e8cb3abf13d0b7b00e0036385080fdaf125958920
  13. 0x5da98004d63a664b48fb1cbdd3411495870573c4cdf283e78b4657e393085211
  14. 0xa59dc4109e7747a67ff1c74b854a6a84d4177b254204f0623f549d72e4be7445
  15. 0xb553c856ad5fb96dd995dd0c40f65a2d8efc7b7f254a1ac0f2c104350e544985
  16. 0x919f237dec4df392868ab95f1d4300b185479ae64464cbc2e7385ad1fd6ab390
  17. 0xa00a931d72706fa2402bfc9b441a12eb7c6a61ff42a542916106e3637177f101
  18. 0x59f83f7228f07febe2780660e422e171b0359b8aa031ee3be07e991118130c15
Day root
0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab
Chained
0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980
Published
On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0

How to check it · This row as JSON