Evidence row 568180

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Fetch the full ClearMarket record for one event by slug: the canonical question, every market in this event's single-venue bundle, each market's current price + Resolution Clarity Grade (A/B/C) + resolution-source provenance, the canonical question_id where the question is linked across venues/events (null otherwise; also_on lists the same question priced on the other venue, when it trades there), and the upcoming catalyst dates that move it before it resolves. In the default detail=\"full\", each market in the bundle is FULLY detailed (grade, rcg.caps, provenance, direction, settlement_style, also_on) — you do not need a separate get_market call for markets already in this event. Note: a shared question_id means same topic across venues; in rare cases it links structurally-different contracts (e.g. a \"hike\" vs a \"cut-count\" market), so verify the contract shape before treating two as an arbitrage pair. Use when you need the authoritative, graded view of a SPECIFIC event — including its cross-venue twins via also_on — before reasoning about or acting on a prediction market. If you only have a topic (not a slug), call list_events first. Set detail=\"concise\" for a quick grade/price/source check (each market trimmed to the essentials — much smaller for events with many markets); use the default detail=\"full\" when you need every market's rules, contract shape, and complete provenance.",
      "inputSchema": {
        "properties": {
          "detail": {
            "default": "full",
            "description": "concise = essentials only (grade, price, source, also_on per market); full = the complete record. Default full.",
            "enum": [
              "concise",
              "full"
            ],
            "type": "string"
          },
          "slug": {
            "description": "Event slug (e.g. \"kxgdpyear-26\") or CM event id (CM-EVT-…).",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_event"
    },
    {
      "description": "Fetch one market and judge whether its price can be trusted. Accepts whatever id you have: a ClearMarket id (CM-MKT-…), a venue-native market id or Kalshi ticker, or a market URL (best-effort — Kalshi tickers / a native id in the path resolve; for Polymarket pass the conditionId, not the slug URL). Returns: raw question, current price / implied probability, the Resolution Clarity Grade with rcg.score (0-100) and rcg.caps (a cap such as \"uncommitted_placeholder\" hard-limits the grade — that is why a single-source market can still be C), full resolution provenance (arbitration_model = who resolves it, named source, source_type, and a graded source_status on EVERY market: named / no-committed-source / none / unknown), the contract shape (direction, settlement_style, threshold), the canonical question_id where linked, and also_on (the same question priced on other venues). The returned market_id is ALWAYS the canonical ClearMarket id (CM-MKT-…) — store and reuse THAT, not the venue id. Use before trusting or acting on a price.",
      "inputSchema": {
        "properties": {
          "market_id": {
            "description": "A ClearMarket id (CM-MKT-…), a venue-native market id / Kalshi ticker, or a market URL (best-effort: Kalshi URLs resolve; for Polymarket pass the conditionId).",
            "type": "string"
          }
        },
        "required": [
          "market_id"
        ],
        "type": "object"
      },
      "name": "get_market"
    },
    {
      "description": "Fetch one full CM Signal wire by slug: headline, the 3-5 structured bullets, atomic claims with per-field provenance tiers, the target + linked events, primary and related markets with prices, and sources. Use when you have a wire slug (from list_signals) and need the complete bulletin with its proof chain.",
      "inputSchema": {
        "properties": {
          "slug": {
            "description": "Wire slug, e.g. \"us-iran-nuclear-deal-before-2027-polymarket-77-2026-05-29\".",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_signal"
    },
    {
      "description": "Browse or search ClearMarket prediction-market events. Filter by category, platform, Resolution Clarity Grade, or free-text `q`. `q` is token-AND across question + tags, so SHORT KEYWORD queries match best (\"microstrategy bitcoin\", \"fed rate\") — natural-language phrases often return nothing. Returns compact graded summaries: slug, question, venues_covered, primary grade, rcg_score (0-100, for ranking clarity), last_price, and status (open / resolved). Start here when you have a topic but not a slug; then call get_event for the full graded record. Categories: economics, financials, crypto, companies, technology, politics, geopolitics, health, climate.",
      "inputSchema": {
        "properties": {
          "category": {
            "enum": [
              "economics",
              "financials",
              "crypto",
              "companies",
              "technology",
              "politics",
              "geopolitics",
              "health",
              "climate"
            ],
            "type": "string"
          },
          "grade": {
            "description": "Resolution Clarity Grade of the primary market.",
            "enum": [
              "A",
              "B",
              "C"
            ],
            "type": "string"
          },
          "limit": {
            "default": 50,
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "default": 0,
            "minimum": 0,
            "type": "integer"
          },
          "platform": {
            "enum": [
              "kalshi",
              "polymarket"
            ],
            "type": "string"
          },
          "q": {
            "description": "Free-text search across event questions. Omit to list the whole filtered universe.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_events"
    },
    {
      "description": "Browse the CM Signal daily wire — short, structured prediction-market bulletins (the price is the lede, news is context). Filter by event_id (every wire touching a specific event), category, venue, or detection type (news_cycle, cross_venue_divergence, benchmark_drift, volume_spike). Returns compact records, newest first; call get_signal for the full bulletin. Use to find ClearMarket's editorial read on what is moving.",
      "inputSchema": {
        "properties": {
          "category": {
            "description": "Signal category tag (case-insensitive): VS_BENCHMARK_DRIFT | CROSS_VENUE_DIVERGENCE | VOLUME_SPIKE | MOMENTUM_REPRICING | PRE_EVENT_PRICING. For thematic filtering use list_events.",
            "type": "string"
          },
          "detection_path": {
            "enum": [
              "news_cycle",
              "cross_venue_divergence",
              "benchmark_drift",
              "volume_spike"
            ],
            "type": "string"
          },
          "event_id": {
            "description": "Return only wires that target or link to this CM event_id.",
            "type": "string"
          },
          "limit": {
            "default": 30,
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "venue": {
            "enum": [
              "kalshi",
              "polymarket"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_signals"
    },
    {
      "description": "List scheduled catalysts (CPI, jobs, FOMC, GDP, large-cap earnings) in the next N days that move prediction-market prices BEFORE those markets resolve — a cross-event view across the whole calendar. Each entry is provenanced to its authoritative source (BLS, Fed, etc.). Use to find what scheduled events will reprice the prediction-market universe soon.",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "maximum": 365,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "list_upcoming_catalysts"
    }
  ]
}

What the leaf hashes

{"body":"ca0c8faacdbf073b634933b0dd118e4dc1ca7bd5c446a3d6e0dc734d76e3d789","id":568180,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138944066137,"prev":null,"subject":"36ecaef7-9ffe-4330-9b4a-6896a083815b","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. 0x098ec8ee4eaf88ebf04c2d243639763d171ba726256e1b98940de01cf7f3a9a1
2. 0xdaa3bd47f30aa51697bda66ccae8619b1564abbcdd644affe30fd54445089b71
3. 0x88dcddbfa2b43523bffaf937e1b08bfe807ae5c8461206f855431fb1b38d520f
4. 0xc81ef27027d86f617b551baac4b8a7329f6bf4338eea467acec99c31704a703a
5. 0x2b45c20a057dc58addfe3aea61a92959a7f291a6df81865847d050a589106223
6. 0x9c431e8cff5b72e9c9f66499954ffb359c65cd22cb0c7ee2886a17152dddfe8a
7. 0x0699571e490c383deaa8b0f2c43785dbc686dd640da3e26acccdfea56ff56f85
8. 0x3f9f488fdfbe115eae85dd898813b25771ce5764785612bc419b3cfdc51ca0b2
9. 0x78ffece3146dc31aedf124f22695caf489b594e25b38e35cd96d8e480c699daa
10. 0x68a4bcb2c0fe56c3e4569de1a81ec184c977d187c501edf2df9c4b70e01c1979
11. 0x9ae71f62703c0a9df6ffd13f49569896ffbb72240a66e3d44cdbfbe65f98ac1c
12. 0x032ecda033bf8a986e559148b1dda067c67bf4dee01f0000782b450c72286406
13. 0x74ffd6144e8464591ea30392b981f197426cfd361178829fb8a66915e2f727b0
14. 0x3e0ec8a2a8a954695a9b53a4a48a7656d7e3fd6a8795c73b49e2ef05b201ec3f
15. 0x2cf27e8a181d60d0dd27c186c2eddfcbb4e8fa71cf66feeb55a4d730e15ee8c4
16. 0x518b93854db03dc9fc938883abf30da6eaae5ae0d4336903968fd32a7df8c71b
17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4