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Evidence row 579426

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 4d540ad1-3dde-43fa-9c6f-c5dd16b724fc
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
ddcd0c37218204c429d250f2833784294c7d8234c5700875390aa1fedceeaf81
Leaf
0x9bbbc6c27852205c1aac8376a907943f9396630e9899c2fc1ec0eef9e808b159

What was observed

{
  "count": 26,
  "tools": [
    {
      "description": "Side-by-side of all Closelooknet headline indices (Rubin, HALO, AW40, AEI, AI Users, Euro-AI): last close, 1-day, 1-week and month-to-date returns. The fastest read on where the AI trade rotated, end-of-day.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "compare_indices"
    },
    {
      "description": "Get Closelooknet’s definition of a financial or market term from its 260+ entry glossary (classic finance, chart indicators, options, Elliott-wave vocabulary, and Closelooknet-coined concepts like the Numerator Regime or Constraint Relay). Concepts without a glossary entry fall back to the 101 explainers (e.g. Memory Wall, CapEx Cliff).",
      "inputSchema": {
        "properties": {
          "term": {
            "description": "The term, e.g. \"Korea discount\" or \"MACD\"",
            "type": "string"
          }
        },
        "required": [
          "term"
        ],
        "type": "object"
      },
      "name": "define_term"
    },
    {
      "description": "Closelooknet’s Weekly Chart Pick: one standout name from the Directional Flow engine each week, worked through by hand — the setup bullets, the house reading and the STANDING closing forecasts (diary views, scored afterwards). Mirrors closelook.net/chart-pick/. Weekly (Friday).",
      "inputSchema": {
        "properties": {
          "all": {
            "description": "Return every published pick (summaries)",
            "type": "boolean"
          },
          "date": {
            "description": "Optional YYYY-MM-DD of a specific pick; omit for the latest",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_chart_pick"
    },
    {
      "description": "Closelooknet’s AI Credit Stress Tape: where stress sits on the six-rung funding ladder of the AI buildout (from balance-sheet-funded hyperscalers down to project-funded neoclouds), FRED credit spreads (IG/BBB/B/HY with 20/60-day deltas and 3-year percentiles), tier aggregates (FCF coverage, external-funding ratio, interest coverage) and per-issuer warning flags. End-of-day.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_credit_stress"
    },
    {
      "description": "Closelooknet’s trading-day hub: for a given date (or the latest), the day’s Morning 10 headline, Midday 10 headline and Daily Pulse edition(s) with links — the same pieces closelook.net/days/<date>/ ties together. Last 90 trading days.",
      "inputSchema": {
        "properties": {
          "date": {
            "description": "YYYY-MM-DD; omit for the latest day with content",
            "type": "string"
          },
          "days": {
            "description": "Return the last N days as a list (1–14)",
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "get_day_hub"
    },
    {
      "description": "Closelooknet’s Directional Flow ranking: the nightly trend-quality score (recency-weighted regression on log-closes, ~330 covered stocks) ranked seven ways — top scores, rising fastest (21d), this week’s biggest moves (5d), steadiest builders (63d), still getting stronger, getting weaker, falling fastest. Mirrors closelook.net/stocks/rankings/directional-flow/. End-of-day.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Rows to return, 1–25 (default 10)",
            "type": "number"
          },
          "view": {
            "description": "Which ranking cut (default: top = highest scores)",
            "enum": [
              "top",
              "momentum",
              "short-term",
              "quarter",
              "accelerating",
              "weakening",
              "falling-fastest"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_df_ranking"
    },
    {
      "description": "Closelooknet’s factor-regime read: the momentum/low-volatility ratio (SPMO vs SPLV) against its 50-day trend — which factor is leading, how stretched the ratio is (3-year percentile), and the 20/60-day rate of change. The fastest single read on risk appetite under the index surface. End-of-day.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_factor_regime"
    },
    {
      "description": "Current snapshot of one proprietary Closelooknet index: RUBIN (AI buildout), HALO (non-AI growth), AW40 (AI deployment), AEI (agentic stack), AIU (AI users — companies putting AI to work in an existing business) or EUROAI. Returns level, recent returns and the strongest/weakest sub-indices, end-of-day.",
      "inputSchema": {
        "properties": {
          "index": {
            "description": "Index code",
            "enum": [
              "RUBIN",
              "HALO",
              "AW40",
              "AEI",
              "AIU",
              "EUROAI"
            ],
            "type": "string"
          }
        },
        "required": [
          "index"
        ],
        "type": "object"
      },
      "name": "get_index_snapshot"
    },
    {
      "description": "Closelooknet’s latest published market view: today’s Morning 10 (ten-point daily overview) and the latest Daily Pulse thesis, each with headline, core statement and link to the full piece.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_latest_view"
    },
    {
      "description": "Closelooknet’s two leading macro monitors in one read: Structural Inflation (26 FRED series, 7 buckets — score, regime, direction, structural-vs-transitory, supply shock) and Growth & Recession (~19 FRED series, 5 buckets — score, regime, direction, recession risk), each with bucket-level z-scores. Mirrors closelook.net/lab/macro/inflation/ and /lab/macro/growth/. Daily on FRED release days.",
      "inputSchema": {
        "properties": {
          "monitor": {
            "description": "Which monitor (default both)",
            "enum": [
              "both",
              "inflation",
              "growth"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_macro_regime"
    },
    {
      "description": "Closelooknet’s Mag Pulse: the daily board on the hyperscaler cohort — the Mag names with 1d/1w/1m/1y changes by cohort, the benchmarks (QQQ, SPY, SOXX, XLK, IGV, MAGS), the MAGS trendline read and the ORCL torque. Mirrors closelook.net/lab/mag-pulse/. Daily 22:30 UTC.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_mag_pulse"
    },
    {
      "description": "Closelooknet’s market board instruments — the indices, FX pairs, crypto, futures proxies and US funds on the homepage board (S&P 500, Nasdaq-100, Nikkei, KOSPI, TAIEX, HSI, Nifty, DAX, EURUSD, USDJPY, BTC, gold, oil …): last level, 1d/1m/3m/YTD/1y changes and the 52-week range from three years of daily closes. Mirrors closelook.net/markets/<slug>/. Daily after the US close.",
      "inputSchema": {
        "properties": {
          "symbol": {
            "description": "Vendor symbol or label fragment, e.g. N225.INDX, Nikkei, EURUSD, BTC; omit to list the board",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_market_instrument"
    },
    {
      "description": "Closelooknet’s Money Temperature: the house money-regime monitor — eight instruments (SPY, QQQ, IWM, TLT, HYG, GLD, UUP, BTC) scored 0–100 on Position / Momentum / Volume / Volatility / Fragility, each with its technical state, plus the absorption ratio. Mirrors closelook.net/lab/temperature/. Daily.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_money_temperature"
    },
    {
      "description": "Closelooknet’s live reference portfolios (the public snapshot): for each book — AI Build-Out, Hypergrowth, Global Tech 50, Global ETFs, Derivatives, and the index trackers (Rubin EW, Rubin Momentum, Rubin Sector Rotation, Jensen, T1) — the snapshot date, position count, the top-10 holdings by weight and the headline return vs deposited capital. Exactly what the free page shows; full composition, cost basis and P&L are subscriber-only. Mirrors closelook.net/portfolios/. Weekly (Friday close).",
      "inputSchema": {
        "properties": {
          "book": {
            "description": "Book slug (ai-buildout, hypergrowth, global-tech-50, global-etfs, derivatives, rubin-ew, rubin-momentum, rubin-sector-rotation, jensen, t1); omit for all",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_portfolio_summary"
    },
    {
      "description": "End-of-day price read for any of ~2,500 tickers in Closelooknet’s data lake: latest close, close-to-close changes over 1D/1W/1M/3M/6M/1Y, 52-week range, and the last ten sessions. US tickers bare (NVDA), foreign with exchange suffix (005930.KS, 6857.T, ASML.AS).",
      "inputSchema": {
        "properties": {
          "ticker": {
            "description": "Ticker, e.g. NVDA or 005930.KS",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "type": "object"
      },
      "name": "get_price_history"
    },
    {
      "description": "Closelooknet’s Print Record for a covered ticker: the last ~10 earnings prints with EPS/revenue beat-or-miss and the 3-day price reaction, headline counts (how often beats were actually PAID), the curated metric line and the next scheduled print. The gap between beat-rates and reactions is the product. Call without a ticker to see current coverage and the forward calendar.",
      "inputSchema": {
        "properties": {
          "ticker": {
            "description": "Ticker, e.g. LITE or NBIS. Omit to list coverage.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_print_record"
    },
    {
      "description": "Closelooknet’s other daily ranking families (siblings of get_df_ranking, end-of-day): country-flow / sector-flow / theme-flow (the Directional Flow trend score over ~72 market cuts via US-listed ETFs; views: top, momentum), up-down-beta (up-day beta vs down-day beta over 126 trading days across ~2,700 stocks; views: leaders, fragile, unstable), etf-dispersion (40 funds ranked by how far apart their members’ returns are; views: divided, today, broadest). Mirrors closelook.net/stocks/rankings/.",
      "inputSchema": {
        "properties": {
          "family": {
            "description": "Which ranking family",
            "enum": [
              "country-flow",
              "sector-flow",
              "theme-flow",
              "up-down-beta",
              "etf-dispersion"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Rows to return, 1–25 (default 10)",
            "type": "number"
          },
          "view": {
            "description": "Family-specific cut. Cuts: top (default) | momentum. up-down-beta: leaders (default) | fragile | unstable. etf-dispersion: divided (default) | today | broadest.",
            "type": "string"
          }
        },
        "required": [
          "family"
        ],
        "type": "object"
      },
      "name": "get_ranking"
    },
    {
      "description": "Closelooknet’s Ratio Chart presets: relative-performance facts for ten pairs — India vs US (Nifty 50 / S&P 500, INDA / SPY), EM vs US (EEM / SPY), developed ex-US vs US (EFA / SPY), Japan vs US (Nikkei / S&P), growth without tech (QQXT / QQQ), health care vs tech (XLV / XLK), low-vol vs momentum (SPLV / SPMO), gold vs US equities (GLD / SPY), bitcoin vs S&P 500. Per pair: current ratio, 1y change, all-time low/high with dates, percentile in its own history, distance from the low, lowest-since date. Weekly since each pair’s first common date. Mirrors closelook.net/lab/ratio/ (where any pair can be charted).",
      "inputSchema": {
        "properties": {
          "pair": {
            "description": "Preset slug (nifty-spx, inda-spy, eem-spy, efa-spy, n225-spx, qqxt-qqq, xlv-xlk, splv-spmo, gld-spy, btc-spx) or omit for all",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_ratio_pair"
    },
    {
      "description": "Closelooknet’s Global Sector Engine: eleven GICS sectors × four regions (US, Europe, Asia-Pac DM, EM) returns over one window (5d, 1m, 3m, ytd), with leaders and laggards per region and per sector. The decomposition institutions see; via ETF vehicles, EM approximated from country funds. Mirrors closelook.net/lab/sectors/. Daily after each regional close.",
      "inputSchema": {
        "properties": {
          "region": {
            "description": "Optional single region",
            "enum": [
              "US",
              "Europe",
              "AsiaPacDM",
              "EM"
            ],
            "type": "string"
          },
          "window": {
            "description": "Return window (default 1m)",
            "enum": [
              "5d",
              "1m",
              "3m",
              "ytd"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_sector_matrix"
    },
    {
      "description": "Closelooknet’s proprietary per-ticker scoring for ~900 scored stocks: composite rank, the seven sub-scores (quality, growth, valuation, balance, cash quality, capital allocation, momentum) under the sector-appropriate weight set, plus literature ratios (Altman Z, Piotroski F, Beneish M). End-of-day.",
      "inputSchema": {
        "properties": {
          "ticker": {
            "description": "Ticker, e.g. DDOG",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "type": "object"
      },
      "name": "get_signal_scores"
    },
    {
      "description": "Closelooknet’s Sovereign Pressure board: G7 ten- and thirty-year government yields aggregated equal- and debt-weighted, the 10s30s and 2s10s slopes, per-country 2Y/10Y/30Y with 1-day and 21-day changes, and the z-scored Pressure Index (high = broad, long-end-led sovereign sell-off). Mirrors closelook.net/lab/sovereign-pressure/. Daily.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_sovereign_pressure"
    },
    {
      "description": "One covered stock through Closelooknet’s own engines, end-of-day: the Directional Flow trend score with its 5/21/63-day score changes and trend state, up-day vs down-day beta with the engine’s structural state (healthy leader / fragile / distribution / decoupling), and Closelooknet index memberships. Pair with get_price_history for bars and get_signal_scores for the quality-score panel.",
      "inputSchema": {
        "properties": {
          "ticker": {
            "description": "Ticker as displayed on closelook.net, e.g. NVDA, ASML, 8035",
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "type": "object"
      },
      "name": "get_stock_snapshot"
    },
    {
      "description": "Closelooknet’s Tape: timestamped, deterministic market cards — session wraps (Asia / Europe / US / after-hours), macro prints, earnings reactions, outliers, PEAD signals and weekly recaps — newest first, each with headline, excerpt and body. Mirrors closelook.net/tape/. Mon–Fri live; fully automated surface (disclosed as such).",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Cards to return, 1–20 (default 8)",
            "type": "number"
          },
          "type": {
            "description": "Optional card type: B1 (session), B2 (macro/recap), C (earnings/PEAD), D (outlier)",
            "type": "string"
          },
          "window": {
            "description": "Optional window filter: ASIA, EU, US, AH, PRE",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_tape"
    },
    {
      "description": "Closelooknet’s Tech Signal Board: what is hot in global tech right now, ranked into one board — new highs, big moves, analyst-target gaps, sector rotation and cooling reads, mixing stocks, sectors and indices across the US, Europe and Asia. Each card carries its own session and as-of date. Mirrors closelook.net/signals/board/ (dated archive at /signals/board/archive/). Refreshed after each close.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Cards to return, 1–20 (default 10)",
            "type": "number"
          },
          "region": {
            "description": "Optional region filter, e.g. US, Germany, Korea, Hong Kong, Japan",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_tech_board"
    },
    {
      "description": "Closelooknet’s two US wires. wire=analyst: the latest sell-side calls (upgrades, downgrades, initiations, price-target moves), newest first, each with the house read where the name is covered (index/portfolio membership, 50/200-day state, Street consensus). wire=earnings: the latest prints against consensus EPS (beat / miss / in line with the surprise) plus the forward calendar. Mirrors closelook.net/signals/analysts/ and /signals/earnings/ (per-day archives under /archive/). Refreshed several times per trading day.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Rows to return, 1–25 (default 10)",
            "type": "number"
          },
          "ticker": {
            "description": "Optional ticker filter, e.g. NVDA",
            "type": "string"
          },
          "wire": {
            "description": "Which wire (default: analyst)",
            "enum": [
              "analyst",
              "earnings"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_wire"
    },
    {
      "description": "Search Closelooknet’s research corpus: 101 explainers, glossary, heresies (contrarian theses), reports, strategy notes and the finance library. Returns matching pieces with a one-line summary and link. Use for \"what has Closelooknet written about X\".",
      "inputSchema": {
        "properties": {
          "query": {
            "description": "Keywords, e.g. \"memory supercycle\" or \"sector rotation\"",
            "type": "string"
          },
          "type": {
            "description": "Restrict to one content type (default all)",
            "enum": [
              "all",
              "101",
              "glossary",
              "heresy",
              "report",
              "strategy",
              "library"
            ],
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_closelook"
    }
  ]
}

What the leaf hashes

{"body":"ddcd0c37218204c429d250f2833784294c7d8234c5700875390aa1fedceeaf81","id":579426,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793143422577478,"prev":null,"subject":"4d540ad1-3dde-43fa-9c6f-c5dd16b724fc","subject_kind":"endpoint"}

Proof

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

  1. 0x9bbbf97015a5bbf879e257045c6d2bf16e0458a539cbf73d27024fdc0268277f
  2. 0x856bce3f797f0658413f5a60af471bff7acb3954029e7af7061759cd5f131de0
  3. 0xff4582d91b224a5e21acc92c009c1f6b1a9efdae4a88b0ba1b0213b5bbf2a168
  4. 0x1ed5981549f622fded43e3c16ec08b5e17e5a3f8cef0c161ce3d924f06194d12
  5. 0x8066ff59b47933d24f6a8480e099947737ab1581b98424627ab8e4b0fe7f35f4
  6. 0x876064dad00afa94f7f6fb9e725a616c81153f7d37e26e08a3e3ad647b079be1
  7. 0x21c83e4368debb17a7876ac26c25dec569d153a716fffd9299a3a7fe06c6eb73
  8. 0xdb6823a606a20bada5b3e61932a6f6c8df205dffab096ec1ad5fab8fd9fe1cef
  9. 0x2df65dd029d5be556a0d4f73374294aaa98224ed20b838efe2b0685cc21c2ba2
  10. 0xcf07a9c51845d2b686d97ca51c04fcac2332768628ecac7ec94bd21fd21bc2fa
  11. 0x6dfee0668e57d69736759f28372f849ab8777b27547dbd940940d7ee450d4ca3
  12. 0xaf993fe1020a8b1831a83a3f25a47d44065b1a3db518b49690cdf7bb3a275984
  13. 0xe8a6f20810396abd4baf9472081cda6d396bc7cf52a77bffdd9f33b41c62adcc
  14. 0xb37e6165108af3c1962db6b76953aee5ee86201747a07444ad2760bf2d5dca23
  15. 0xa3fff4662cd48659f5bafd0612931759a90e53a7b4209ed8f26f6594a07bb547
  16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON