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Evidence row 3146850

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint f5fe0f30-3757-4a9c-85de-75d8656efdb6
Recorded
Previous row
#2298055
Body SHA-256
bb2fe4330cb1a8b5d06488820d0d13d2c1430d83e747070a72816bf2a10cf61e
Leaf
0x1ed941094dab846250e64eb94fc1c511031c67b56a708b5552ca863961424fd7

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: one of the listed values",
            "enum": [
              "beauty",
              "fashion_style",
              "food_drink",
              "lifestyle",
              "parenting_family",
              "music_entertainment",
              "arts_media",
              "travel",
              "tech_business_education",
              "sports_outdoors",
              "home_living",
              "streetwear_luxury",
              "fitness_health",
              "shopping_deals",
              "comedy",
              "modest_fashion",
              "events_culture",
              "pets",
              "swim_beachwear",
              "accessories_jewellery"
            ],
            "type": "string"
          },
          "er_measured": {
            "description": "Only influencers whose engagement rate is measured",
            "type": "boolean"
          },
          "followers_max": {
            "description": "Upper follower bound: one of the listed values",
            "enum": [
              1000,
              5000,
              10000,
              25000,
              50000,
              100000,
              250000,
              500000,
              1000000,
              2500000,
              5000000,
              10000000
            ],
            "type": "integer"
          },
          "followers_min": {
            "description": "Lower follower bound: one of the listed values; below followers_max",
            "enum": [
              1000,
              5000,
              10000,
              25000,
              50000,
              100000,
              250000,
              500000,
              1000000,
              2500000,
              5000000,
              10000000
            ],
            "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":"bb2fe4330cb1a8b5d06488820d0d13d2c1430d83e747070a72816bf2a10cf61e","id":3146850,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793833312974550,"prev":2298055,"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 (424109 rows).

  1. 0x1ed940296523fe0277659d4193a369ee06d49045a62abfdf4ba8f49b1247cd5d
  2. 0xe6fa600da16f9af9d92040ee6ff9ddc6beaf07f99b9efe13a545739be759e12a
  3. 0x1fc179bdee9cd59348838ac6e04e87a04b2c091de4b7b38ea926e49b6dd5447a
  4. 0x6dd74eec03394401e226241b2c48ca4c786477d07b5d20445267c5e37c8271c2
  5. 0x4daaf07f3336dc16996340715128da9cf7461aa9f16fca85b21567519722b2fb
  6. 0x28e83a9f9622c8b4a3bbe84dd46362c9d60884868a1074cc1d66d844337573cc
  7. 0x1da142cf50f5020c611a7ece08c4bda2b9ef8bd9a27504640a10c6f0792c228e
  8. 0xa9c06ad45162b9e24de75d9da0a63a240ff777f1097ac3793fe8c4d64a3dac2f
  9. 0xf1ad747cd133b1469866465d2e5dab974d874145f025f14d3ce3a00e53bfbb3b
  10. 0xf20bc4af831551cedffd5647d2bde06d32000276fa4ec065d8069efda14dbd70
  11. 0x403853a7a73317972d4f06114eb1f716c108012c30ffa6f3c1effa91914299f1
  12. 0xf44b495db3a5e3a3fb7bc4a19b2c936acf4aa4d86200b2267d086e8f845d96f0
  13. 0xf39ad38791749ae94d8b43d93155884153da2ed6d8af13f22de90795709b34f0
  14. 0xd5576f8b7b71ad8f963970f922fc9f5477ebb72a69425e5f0eceef6203a7981b
  15. 0x4abf06392be817fed1d4142854589c0ecb4a0254010bceee86244cf6d2d411f3
  16. 0xa9c5ec1f03532da98f64c2c9386083d4c5202ff37eb07bd4beb6b8db6e4b8c1e
  17. 0x01c26569ec8e231551522ab452fd5d417c3d66f29c7c76886a8ec295a18dd624
  18. 0x02f64ca19e7d9b09718851d2ce3abf641982580de99411626d894607cf386cd5
  19. 0x10067354f57fa0cd86b7423e67cc1c7d107d7c9c6823df5246c4fb63b60575e5
Day root
0xd4eed8c0ea3c90ec6f262b19fcc3b849f30cb82a0f84b8b89569e48af7d0c1ee
Chained
0x59305749c32724a02a23c368834d8a36ae9908da93a915e2962fffe01b4e591b
Published
On Arc Testnet, block 70772483: 0x813d56041c1efd407e56047129b597b154a1cb26458bb2768fd0a4630ac97345

How to check it · This row as JSON