Evidence row 567064

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Compare the popularity of 2-5 topics (brands, competitors, products, people, keywords) by Wikipedia pageviews. Returns one jointly normalized 0-100 interest-over-time series per topic, share of attention, the most popular and the fastest-rising topic, and per-topic trend direction and spikes. A Google-Trends-style popularity comparison based on Wikipedia reading rather than searches. Suited to competitor analysis, brand tracking and content planning. Paid: $0.01 USDC per call via x402.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "days": {
            "description": "Window length in days, ending yesterday UTC (default 30)",
            "maximum": 365,
            "minimum": 7,
            "type": "integer"
          },
          "lang": {
            "description": "Wikipedia language code, e.g. 'en', 'fr', 'de', 'ja' (default en)",
            "maxLength": 20,
            "minLength": 2,
            "type": "string"
          },
          "topics": {
            "description": "2-5 comma-separated topics, e.g. 'ChatGPT,Claude,Gemini'",
            "maxLength": 500,
            "minLength": 3,
            "type": "string"
          }
        },
        "required": [
          "topics"
        ],
        "type": "object"
      },
      "name": "compare_topic_popularity"
    },
    {
      "description": "What is trending right now: the most-read Wikipedia articles for a language and day (default yesterday UTC), with views and rank, cleaned of the Main Page, special and other non-article pages. A daily signal of trending topics, breaking news and current events in 300+ Wikipedia language editions. Suited to trend discovery, news monitoring and content ideas. Paid: $0.005 USDC per call via x402.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "date": {
            "description": "Day YYYY-MM-DD (default: yesterday UTC)",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "lang": {
            "description": "Wikipedia language code, e.g. 'en', 'fr', 'de', 'ja' (default en)",
            "maxLength": 20,
            "minLength": 2,
            "type": "string"
          },
          "limit": {
            "description": "Number of articles (default 25)",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "trending_topics"
    },
    {
      "description": "Wikipedia pageviews trend for any topic: interest over time as a measure of topic popularity and public attention. Free text (brand, person, product, event) is resolved to the matching Wikipedia article. Returns daily views normalized 0-100, 7-day and window % change, direction (rising, falling, stable, spiking), peak day and spike detection. Similar in purpose to Google Trends search interest, but it measures Wikipedia reading, not searches. Paid: $0.005 USDC per call via x402.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "days": {
            "description": "Window length in days, ending yesterday UTC (default 30)",
            "maximum": 365,
            "minimum": 7,
            "type": "integer"
          },
          "lang": {
            "description": "Wikipedia language code, e.g. 'en', 'fr', 'de', 'ja' (default en)",
            "maxLength": 20,
            "minLength": 2,
            "type": "string"
          },
          "topic": {
            "description": "Free-text topic resolved to the best-matching Wikipedia article, e.g. 'bitcoin', 'Taylor Swift', 'AI Act'",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "topic"
        ],
        "type": "object"
      },
      "name": "wikipedia_pageviews_trend"
    }
  ]
}

What the leaf hashes

{"body":"53d83d0b21e2213cc1e5b431acb6161a9ef9ded7fd0baeebe05763f9179b3349","id":567064,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138594993439,"prev":null,"subject":"f9c189f2-0fa6-47e0-b958-0a4111dcce72","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x6d721b66da4bbe78f369714d005bdb31aac9bbd45cc996cacfb40c66db9cf9f8
2. 0xff2817372017e56a940fead08be3a01c10f6c0c121227868fcee82c7697f100c
3. 0x59b7c089cbe95d3ac44b6e36ccb71aad1844a8c524618a663bb01f5348c92a6b
4. 0x1d406e712a06590f31630bed0f1fac1eb607b767bfcc39f39c778429ff1cfcb9
5. 0x53e36f4be56b236b58f285e6fe1546c65e7e0120249d64ed518dfaee2693048b
6. 0x8219e96899281ec10abbb31c973efb9cc6be7815096a40f521ae107799beabe1
7. 0x60a008e4ad9a926252cff75bc53b26ea644eeca991d5873df214f80941c99fc3
8. 0xce6f573be3c46d7740852b3299620e7b559886bbe32383e0c48ef4e5065f082f
9. 0xd1857e5a305ec922018dc3641b774e495cc4afac048efeff34cedffc2968995a
10. 0x0c620ef247250b34019e2ced8741b3505fbbe8bdfdb8250b2f8d3916aa35c55e
11. 0xfac107c1c8084222245c143cec42507a805d975aa36d06859f2154d70b78a0be
12. 0xc78608c08428e27bbac3251f568868a865e1e442ea6f182a8fd2342173a5acaf
13. 0xa7e162a9119a39c37b96b3483510d3fd108f25676fe3a9584241629612b01526
14. 0xb2ae53d841a55a805fb4078b1a7d44e08a81aba4be3690bac3a5b4c366bf39da
15. 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4