此 MCP 可以做什么
Aggregates market intelligence from insider filings, Congressional trades, institutional positioning, consensus signals, historical moves, and ticker screening.
功能
工具
16
工具
get_composite
Composite signal for a 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.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_consensus
Cross-signal consensus for one 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.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_demo_composite
Composite signal for a demo ticker (no key required)
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.
只读
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
get_equity_perp
Overnight positioning for one 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.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_evidence
Source documents behind a ticker's signals
Paid key required. The primary documents a ticker's signals were derived from — insider Form 4s, institutional holdings and macro series, each with the filing it came from. 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.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_historic_moves
How big a move is normal for this 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%.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_house_rating
House rating for a 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.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. AAPL.'}}, 'additionalProperties': False}
get_monthly_activity
Current-month insider or Congressional activity
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.
只读
输入模式
{'type': 'object', 'required': ['kind'], 'properties': {'kind': {'enum': ['insiders', 'congress'], 'type': 'string', '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.'}}, 'additionalProperties': False}
get_signal
Market-level signal
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.
只读
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'name': {'enum': ['macro', 'energy', 'crypto', 'rate_expectations'], 'type': 'string'}}, 'additionalProperties': False}
list_congress_trades
Recent Congressional trades
Disclosed House and Senate trades, newest first, each linked to its disclosure. Up to 20 rows per call on every customer key; page with next_cursor.
只读
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'How many trades to return.'}, 'since': {'type': 'string', 'description': 'ISO date; only records on or after it.'}, 'cursor': {'type': 'string', 'description': 'next_cursor from a previous call.'}, 'ticker': {'type': 'string', 'description': 'Restrict to one ticker, e.g. TSLA.'}}, 'additionalProperties': False}
list_equity_perp
Overnight positioning on US names (24/7 perps)
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.
只读
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'How many names to return.'}}, 'additionalProperties': False}
list_insider_trades
Recent insider trades
Corporate insider buys and sells from SEC filings, newest first, each linked to the filing it came from.
只读
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'How many trades to return.'}, 'since': {'type': 'string', 'description': 'ISO date; only records on or after it.'}, 'cursor': {'type': 'string', 'description': 'next_cursor from a previous call.'}, 'ticker': {'type': 'string', 'description': 'Restrict to one ticker, e.g. TSLA.'}}, 'additionalProperties': False}
list_positioning
Futures positioning (CFTC Commitments of Traders)
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.
只读
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'How many records to return.'}, 'since': {'type': 'string', 'description': 'ISO date; only records on or after it.'}, 'cursor': {'type': 'string', 'description': 'next_cursor from a previous call.'}, 'ticker': {'type': 'string', 'description': 'Futures symbol as the CFTC data stores it, e.g. ES, GC, ZT. Not an equity ticker.'}}, 'additionalProperties': False}
rank_consensus
Tickers ranked by consensus strength
The names where independent actors agree most strongly, ranked. Use this to find candidates rather than to check one you already have in mind.
只读
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'How many rows to return.'}, 'direction': {'enum': ['bullish', 'bearish', 'mixed', 'neutral'], 'type': 'string', 'description': 'Restrict to one consensus direction.'}, 'min_signals': {'type': 'integer', 'description': 'Minimum number of dimensions that voted.'}, 'min_agreement': {'type': 'number', 'description': 'Minimum agreement score, 0-1.'}}, 'additionalProperties': False}
screen
Screen the universe
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.
只读
输入模式
{'type': 'object', 'properties': {'sort': {'enum': ['confidence', 'data_completeness', 'consensus_strength', 'house_rating_confidence'], 'type': 'string', 'description': 'Sort column. Defaults to confidence. house_rating_confidence requires a paid key.'}, 'limit': {'type': 'integer', 'description': 'How many rows to return.'}, 'order': {'enum': ['asc', 'desc'], 'type': 'string', 'description': 'Sort direction.'}, 'state': {'enum': ['accumulation', 'distribution', 'event_driven', 'elevated_risk', 'mixed', 'quiet', 'activist_target', 'settlement_stress'], 'type': 'string', 'description': 'Restrict to one overall state.'}, 'rating': {'type': 'string', 'description': 'Restrict to one house rating, e.g. buy, hold, sell. Requires a paid key.'}, 'sector': {'type': 'string', 'description': 'Restrict to one sector.'}, '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.'}, 'min_confidence': {'type': 'number', 'description': 'Minimum model confidence, 0-1.'}, 'min_completeness': {'type': 'number', 'description': 'Minimum data completeness, 0-1.'}}, 'additionalProperties': False}
search_tickers
Find a ticker by name or symbol
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.
只读
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'Company name or partial symbol.'}}, 'additionalProperties': False}
历史
近期工具变更
已更改
screen
2026年10月1日 02:44
已更改
get_evidence
2026年10月1日 02:44
已更改
get_equity_perp
2026年9月29日 02:51
已更改
list_positioning
2026年9月29日 02:51
已更改
list_congress_trades
2026年9月29日 02:51
已更改
screen
2026年9月29日 02:51
已更改
get_house_rating
2026年9月29日 02:51
已更改
get_evidence
2026年9月29日 02:51
已更改
get_signal
2026年9月27日 02:43
已更改
list_congress_trades
2026年9月27日 02:43
已更改
get_monthly_activity
2026年9月27日 02:43
已更改
get_evidence
2026年9月27日 02:43
已添加
get_monthly_activity
2026年9月21日 02:49
已更改
screen
2026年9月21日 02:49
已添加
get_signal
2026年9月17日 12:39
已添加
search_tickers
2026年9月17日 12:39
已添加
get_equity_perp
2026年9月17日 12:39
已添加
list_equity_perp
2026年9月17日 12:39
已添加
get_historic_moves
2026年9月17日 12:39
已添加
list_positioning
2026年9月17日 12:39
已添加
list_congress_trades
2026年9月17日 12:39
已添加
list_insider_trades
2026年9月17日 12:39
已添加
screen
2026年9月17日 12:39
已添加
rank_consensus
2026年9月17日 12:39
已添加
get_consensus
2026年9月17日 12:39
已添加
get_house_rating
2026年9月17日 12:39
已添加
get_evidence
2026年9月17日 12:39
已添加
get_demo_composite
2026年9月17日 12:39
已添加
get_composite
2026年9月17日 12:39
发现
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