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Evidence row 2298055

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint f5fe0f30-3757-4a9c-85de-75d8656efdb6
Recorded
Previous row
#2035045
Body SHA-256
ebfa0a7aa3f22ee641dbad683314e6f22251440b5aa460747adce7e99fc19ea9
Leaf
0x318baf774a51500a0513467d0cc39b0551ac5283701b18a2f0b06287bd9c4db2

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 the niches that matched (cards are ordered by relevance, then measured engagement, then followers; no score is returned); 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":"ebfa0a7aa3f22ee641dbad683314e6f22251440b5aa460747adce7e99fc19ea9","id":2298055,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793660963317210,"prev":2035045,"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. 0x318bb7ed02fbfcd37c4565c19f385597d05f4d3a2ffe148d931ac7d6343afe37
  2. 0x773e07179349fc4351d247920af595a183baa7689b2885333c16563761dc09cc
  3. 0x500efdef8a25a8ac95fd7abaac5ae0e55b68f4a6c2d42547a5424dec172b8c98
  4. 0xd6b7c03f7a6a18742cc1f9ba49361756c1b1e328377f10f327bf4d900d0f1416
  5. 0x9cd63f30b62665a5c0bb714f97ff13def5d4653235e7e14a56b9a8744294bfb1
  6. 0xb53f50de3c179d15eb1fa466a71d7a9f1f56f0833b31ec9ceb1e1594465c8a17
  7. 0xf3faf5f17241584b345e2b08369b92c61552320794fc0fbc7947f80b443d450c
  8. 0xe0226e3e2c6329826b72177643b0e7e327e638bee1a91ba82dec67c1d0dbb5c3
  9. 0x72479c6381b1f7183e5a3bc7cdcf67f749678a1ad6580c218eb468e97d2f88b3
  10. 0x41ba94a79f58592733c0fffb42995e61528a508889cc04274dac89982ecdc72f
  11. 0x61e580bb787cae52fc788dfe73f9f7893f6b89da9a1e00d74c3d7246279048b0
  12. 0xf84f1a998fbb6381ea772208ecdde79fbccb4ebf735fd8e7edc2c8cd3acb8c91
  13. 0xdcc1d9c1067e77e4536008fca60e4d4987a5b540ec77923110dc668972c55745
  14. 0x74cae95d275254a9c747b603bd40b5086c5725fd3e904782e6447e4647e8b049
  15. 0x464ce6fe060d0a6c4e810b71501e55084086148f7daf393caa14462b1a777022
  16. 0xd42916b5c6441e9c8d91ff91715af1489cb83dee26d47e7da107caa4d2a68b65
  17. 0xa20b9be86af7d690e040c9060a373b2fc5498edf3432f43c26f74fa2febc1e9a
  18. 0x050f2978b537f7afb21ee1551577cdf146d1c56f4df12d24315ae5e69366b0a4
  19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON