Compound Interesting — market intelligence

Source-backed US market signals: insider filings, Congress trades, institutions, consensus.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
99%
Vollständigkeit des Schemas
91%
Qualität der Benennung
98%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~2,275Tokens (Tool-Definitionen)
~863 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.78% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "market-intelligence": {
      "url": "https://api.compoundinterest.ing/mcp"
    }
  }
}

Remote-Endpunkte

https://api.compoundinterest.ing/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (16)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢get_composite(ticker)

Everything the platform knows about one ticker in a single record: the cross-signal consensus, each contributing dimension with its direction and provenance, and risk flags. Start here for any question about a specific company.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢get_demo_composite

A single fixed demo ticker, callable without an API key, so the data shape can be inspected before signing up. Returns only the demo ticker regardless of input. For real tickers use get_composite, which requires a free key.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_evidence(ticker)

Paid key required. The primary documents a ticker's signals were derived from — insider Form 4s, institutional holdings and macro series, with the filing each came from where one is available. Use this to cite a claim rather than assert it. Paid keys are not on sale yet. A ticker whose evidence has not been published yet returns evidence_not_published. Congressional trades are not included: use list_congress_trades, which works on every key.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢get_house_rating(ticker)

Paid key required. The platform's own buy/hold/sell rating for a ticker, with the reasoning behind it. A judgement about the stock, not a recommendation to any reader. Paid keys are not on sale yet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢get_consensus(ticker)

Whether the independent actors this platform tracks — insiders, Congress, institutions, the model — agree on one ticker, with the per-dimension breakdown that produced the verdict.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢rank_consensus(direction, min_agreement, min_signals, limit)

The names where independent actors agree most strongly, ranked. Use this to find candidates rather than to check one you already have in mind.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "direction": {
      "type": "string",
      "enum": [
        "bullish",
        "bearish",
        "mixed",
        "neutral"
      ],
      "description": "Restrict to one consensus direction."
    },
    "min_agreement": {
      "type": "number",
      "description": "Minimum agreement score, 0-1."
    },
    "min_signals": {
      "type": "integer",
      "description": "Minimum number of dimensions that voted."
    },
    "limit": {
      "type": "integer",
      "description": "How many rows to return."
    }
  },
  "additionalProperties": false
}
🟢screen(sector, rating, state, min_confidence, min_completeness, ...)

Filter the whole equity universe and return matching tickers with their scores. The bulk discovery tool: use it for questions of the form 'which companies have X'. To rank by cross-signal agreement instead, use rank_consensus.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sector": {
      "type": "string",
      "description": "Restrict to one sector."
    },
    "rating": {
      "type": "string",
      "description": "Restrict to one house rating, e.g. buy, hold, sell. Requires a paid key."
    },
    "state": {
      "type": "string",
      "enum": [
        "accumulation",
        "distribution",
        "event_driven",
        "elevated_risk",
        "mixed",
        "quiet",
        "activist_target",
        "settlement_stress"
      ],
      "description": "Restrict to one overall state."
    },
    "min_confidence": {
      "type": "number",
      "description": "Minimum model confidence, 0-1."
    },
    "min_completeness": {
      "type": "number",
      "description": "Minimum data completeness, 0-1."
    },
    "flagged": {
      "type": "boolean",
      "description": "Only entities with at least one event or risk dimension flagged (insider, material, macro, ftd, reporting_risk, ownership, news, ta, institutional, congress, fda_enforcement). Flags on fundamentals, macro_beta, narrative and gov_contracts do not count."
    },
    "sort": {
      "type": "string",
      "enum": [
        "confidence",
        "data_completeness",
        "consensus_strength",
        "house_rating_confidence"
      ],
      "description": "Sort column. Defaults to confidence. house_rating_confidence requires a paid key."
    },
    "order": {
      "type": "string",
      "enum": [
        "asc",
        "desc"
      ],
      "description": "Sort direction."
    },
    "limit": {
      "type": "integer",
      "description": "How many rows to return."
    }
  },
  "additionalProperties": false
}
🟢get_monthly_activity(kind, month)

Rank ticker activity aggregated from available published filings by transaction date for the current UTC month through today. Includes coverage metadata and unknown-value counts; this is not total market activity. Congress: 10 names on every customer key. Insiders: free keys receive up to 10 names, paid keys up to 20.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "insiders",
        "congress"
      ],
      "description": "Which published filing activity to aggregate."
    },
    "month": {
      "type": "string",
      "description": "Optional YYYY-MM; only the current UTC month is supported. Defaults to the current UTC month."
    }
  },
  "required": [
    "kind"
  ],
  "additionalProperties": false
}
🟢list_insider_trades(ticker, limit, cursor, since)

Corporate insider buys and sells from SEC filings, newest first, with a link to the filing each came from where one is available.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Restrict to one ticker, e.g. TSLA."
    },
    "limit": {
      "type": "integer",
      "description": "How many trades to return."
    },
    "cursor": {
      "type": "string",
      "description": "next_cursor from a previous call."
    },
    "since": {
      "type": "string",
      "description": "ISO date; only records on or after it."
    }
  },
  "additionalProperties": false
}
🟢list_congress_trades(ticker, limit, cursor, since)

Disclosed House and Senate trades, newest first, linked to the disclosure where one is available. Up to 20 rows per call on every customer key; page with next_cursor.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Restrict to one ticker, e.g. TSLA."
    },
    "limit": {
      "type": "integer",
      "description": "How many trades to return."
    },
    "cursor": {
      "type": "string",
      "description": "next_cursor from a previous call."
    },
    "since": {
      "type": "string",
      "description": "ISO date; only records on or after it."
    }
  },
  "additionalProperties": false
}
🟢list_positioning(ticker, limit, cursor, since)

Weekly speculative positioning in FUTURES markets from the CFTC Commitments of Traders report, newest first: net speculative position, its share of open interest and its historical percentile. Covers futures symbols such as ES (S&P 500 e-mini), GC (gold), ZT (2-year Treasury note), not individual stocks. Net figures can reflect hedges and cannot be read as a directional view on their own.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Futures symbol as the CFTC data stores it, e.g. ES, GC, ZT. Not an equity ticker."
    },
    "limit": {
      "type": "integer",
      "description": "How many records to return."
    },
    "cursor": {
      "type": "string",
      "description": "next_cursor from a previous call."
    },
    "since": {
      "type": "string",
      "description": "ISO date; only records on or after it."
    }
  },
  "additionalProperties": false
}
🟢get_historic_moves(ticker)

The historical distribution of 5-day and 1-month returns for a ticker, sampled over the last 5 years: mean, standard deviation, percentiles, a histogram, and the worst drawdowns with their dates. Use it to say whether a move is unusual FOR THIS NAME rather than in the abstract. Every number is a fraction: 0.0821 means 8.21%.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢list_equity_perp(limit)

Funding rate and open interest for the ~51 US single names listed on a 24/7 perpetual futures venue, ranked by notional. This is the ONLY source here that moves outside US market hours, so it is what to check overnight and at weekends. High positive funding means longs are paying to hold — crowded, squeeze-fragile. The mark price is a venue mark, NOT the stock price.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "description": "How many names to return."
    }
  },
  "additionalProperties": false
}
🟢get_equity_perp(ticker)

Funding and open interest for a single name on the 24/7 perpetual venue. Most tickers are NOT listed there — only about 51 of about 4,600 covered tickers — and a 'not listed' answer means no venue coverage, never that positioning is flat or zero.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Ticker symbol, e.g. AAPL."
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}
🟢search_tickers(query)

Resolve a company name or partial symbol to tickers the platform covers. Use this first when the user names a company rather than a symbol.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Company name or partial symbol."
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_signal(name)

A whole-market gauge rather than a per-company one. 'macro' is the market-regime read, 'energy' the macro energy balance, 'crypto' crypto positioning and funding, 'rate_expectations' the market-implied path for policy rates. Use these for the backdrop a single name is trading against.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "enum": [
        "macro",
        "energy",
        "crypto",
        "rate_expectations"
      ]
    }
  },
  "required": [
    "name"
  ],
  "additionalProperties": false
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet16 Tools
verifiziertVersion nicht aufgezeichnet16 Tools
verifiziertVersion nicht aufgezeichnet16 Tools