Evidence row 306049

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "180-day Pearson correlation between daily sentiment shifts and next-day\n    price returns for `ticker`.\n\n    Returns Pearson `r`, `p_value`, `n_days` overlapping, a 95% confidence\n    interval (Fisher z), and a categorical `strength` (strong / weak /\n    inconclusive).  Costs 1 API credit — same as GET /v1/correlation/{ticker}.\n\n    Requires ≥30 overlapping day-pairs.  Under that, returns a `note` field\n    explaining what's missing so a caller can suggest waiting or switching\n    to a higher-coverage ticker.\n    ",
      "inputSchema": {
        "properties": {
          "ticker": {
            "title": "Ticker",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "title": "get_correlationArguments",
        "type": "object"
      },
      "name": "get_correlation"
    },
    {
      "description": "Return daily close prices for `ticker` over the last `days`, in the\n    ticker's native currency -- see the `currency` field on the response.\n\n    Costs 1 API credit per day actually returned — same as\n    GET /v1/prices/{ticker}.  Prices come\n    back reverse-chronological.  Crypto is GBP (yfinance BTC-GBP etc.), FX\n    pairs are a raw exchange rate in the pair's native convention (e.g.\n    USDJPY is yen per dollar), and everything else (stocks/ETFs/commodity\n    futures) is native USD -- there is no currency conversion.\n    ",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "title": "Days",
            "type": "integer"
          },
          "ticker": {
            "title": "Ticker",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "title": "get_pricesArguments",
        "type": "object"
      },
      "name": "get_prices"
    },
    {
      "description": "Return the most recent FinBERT-scored news headlines for `ticker`.\n\n    Each headline has a `sentiment_score` in [-1, +1] (positive_prob -\n    negative_prob), a categorical `sentiment_label`, and a `source_kind`\n    (news / reddit / stocktwits / x / youtube).  Costs 1 API credit per 25\n    headlines actually returned — same billing as GET /v1/sentiment/{ticker}.\n    An empty result costs nothing.\n\n    `limit` is capped at 100.  Social posts are kept separate from news:\n    the default `sources=\"news\"` returns editorial news, `\"social\"` returns\n    only Reddit, StockTwits and X posts, and `\"all\"` returns both, labelled\n    by `source_kind`.  Titles come back reverse-chronological so the first\n    item is the freshest.\n    ",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 25,
            "title": "Limit",
            "type": "integer"
          },
          "sources": {
            "default": "news",
            "enum": [
              "news",
              "social",
              "all"
            ],
            "title": "Sources",
            "type": "string"
          },
          "ticker": {
            "title": "Ticker",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "title": "get_sentimentArguments",
        "type": "object"
      },
      "name": "get_sentiment"
    },
    {
      "description": "Return daily aggregated news sentiment for `ticker` over the last `days`.\n\n    Each entry has `avg_sentiment` (unweighted mean of that day's scores),\n    `article_count`, and a directional `label` (positive / negative /\n    neutral, thresholded at ±0.1).  `sources=\"social\"` returns a separate\n    daily average of Reddit, StockTwits and X posts; news and social are\n    never averaged together.  Costs 1 API credit per day actually returned —\n    same as GET /v1/summary/{ticker}.  A window with no coverage costs nothing.\n    ",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "title": "Days",
            "type": "integer"
          },
          "sources": {
            "default": "news",
            "enum": [
              "news",
              "social"
            ],
            "title": "Sources",
            "type": "string"
          },
          "ticker": {
            "title": "Ticker",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "title": "get_summaryArguments",
        "type": "object"
      },
      "name": "get_summary"
    },
    {
      "description": "Introspect your API key: included allowance, remaining credits, and\n    when they refill.\n\n    Free keys get 1,000 calls per 30-day window starting at their first\n    billable call (`resets_at` is null when no window is running); paid plans\n    refill on the 1st of each month.  Free — doesn't hit the billing meter.\n    Useful before a large batch of `get_sentiment`/`get_summary` calls to check\n    you have credit headroom.\n    ",
      "inputSchema": {
        "properties": {},
        "title": "get_usageArguments",
        "type": "object"
      },
      "name": "get_usage"
    },
    {
      "description": "List every asset SentimentFX tracks.\n\n    Cheap (free — doesn't hit the billing meter).  Returns two groups:\n    `primary` (5 crypto + 7 FX pairs — the ones with full sentiment coverage\n    across the primary RSS feeds), and `background` (US equities, ETFs,\n    commodity futures — coverage is thinner but real).  Use the exact ticker\n    string from either group as the `ticker` arg to the other tools.\n    ",
      "inputSchema": {
        "properties": {},
        "title": "list_tickersArguments",
        "type": "object"
      },
      "name": "list_tickers"
    }
  ]
}

What the leaf hashes

{"body":"9b3004e20788f27a53d09785c8705a7e729654b8136482127ef5e670bef9b3ee","id":306049,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056791679613,"prev":null,"subject":"6dd7480f-564c-45f8-a8bf-7a1691efcf22","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xb30949e5833683940ed55acf0c09f95ce47c6e823138f8727f0316d510d93e0b
2. 0x803482fe7e562abba37b3d538ff3aac3a00317f96c4be4612f9394b72811b0e6
3. 0xdc54a8c5414071e1d199069fc90af8bfaca438457ba36b9d19a3a2c2ca50e3a4
4. 0xc99638886b382ead2795c7e75614e86f46e3875f3b121baa15ee8ec59e3d3fb1
5. 0xaa7faae00d7492d09ac0cd380c3e666d3c00ccc3a798a21373bdbf01e0c238a5
6. 0x784a7bbb3ca326d585176fa35cad8dbbcf7a97af75086ad48c5300027f31ad1c
7. 0xd23d59b81aa62423616fe449026f2ab3840af69b910ab633b3fd1f92f58b8254
8. 0x3b6b3befde19fc858b220fe429cf8c553bce4667cf8cc4a5e8d3d6c773345a77
9. 0xf3459130fadd071ff4467116a3e6ee7756254e46323de97b1e1bd4c8bdffe533
10. 0x34826d27a00fb6f2649b492e5ca5ff6025211b9bda757487c3351c0e533593f3
11. 0x08b0ee375f7c28afd23e265e3e1bed91ba37304e42eafa665ef4a7f785b3e7bf
12. 0x3d6ec9d5ef8daa604601742088e213da0a439db6eff6ce50ec3ffb264a60ddd3
13. 0x3b1c0e225d1b1cb24cd5d5ea4af2de20ed68a1eaf8b61924ed1b81e4b9cf7e39
14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae