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551,504 tools. Updated 2026-09-12 08:54

"Information about trading or trade-related activities" matching MCP tools:

  • MARKET SIZE for outdoor recreation activities in US dollars, by activity and state — BEA's Outdoor Recreation Satellite Account (official government statistics, not analyst estimates). Use for "how big is the hunting industry", "fishing economy by state", "which states have the largest outdoor recreation economy", "value of the skiing industry". Activities include hunting, shooting, fishing, boating, hiking/camping, equestrian, skiing/snow, bicycling, RVing, motorcycling/ATV, golf/tennis, guided tours, and the overall total. Returns value added (the activity's contribution to GDP) per state for a year, ranked. IMPORTANT: birdwatching and wildlife WATCHING are not separate lines in this account — hunting and fishing are the only wildlife-related activities measured, so do not use this to size birding specifically. This tool wraps BEA table SAOACTVA so you do not have to know BEA table or line codes; for other BEA data use get_data.
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  • Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.
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  • Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.
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  • Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.
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  • Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.
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  • Trading Playbook Engine status: the registry of rule-based trade setups (playbooks) for BTC and ETH and which ones are firing right now, with structure-gate verdicts, cooldown state and why non-firing setups do not match (failed predicates with live market readings). Strategy-level only — no prices, sizes or portfolio data. Use for questions about active trade setups or what the playbooks are watching.
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Matching MCP Servers

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    license
    Not graded
    quality
    C
    maintenance
    MCP server that provides read-only access to cached metadata of public activities, contests, and competitions from multiple sources via SQLite, enabling search and listing without hitting external sites.
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Matching MCP Connectors

  • Census Trade MCP — US Census Bureau International Trade data

  • Score a meetup topic, place a speaker on the right stage, price community reach. ELC data.

  • Use this when the user asks about THEIR OWN TraderSpy account: Hyperliquid balance, open positions, unrealized PnL, or paper-trading account. Read-only — this connector cannot place, close or modify orders, and cannot withdraw. Requires a personal MCP connection (key from traderspy.app Settings).
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  • Use this when the user asks about THEIR OWN TraderSpy account: Hyperliquid balance, open positions, unrealized PnL, or paper-trading account. Read-only — this connector cannot place, close or modify orders, and cannot withdraw. Requires a personal MCP connection (key from traderspy.app Settings).
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  • Deposit USDC from the account's WALLET into its trading SUBACCOUNT so it becomes collateral. Without amountUsd it moves everything above the $0.95 gas reserve (what the web app does); with amountUsd it moves exactly that much, as long as $0.95 stays in the wallet. Funds never leave the account — this is an internal transfer the trading key is allowed to make. Use it when the user has sent money to the account and the subaccount collateral is 0 or too low to trade.
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  • Deposit USDC from the account's WALLET into its trading SUBACCOUNT so it becomes collateral. Without amountUsd it moves everything above the $0.95 gas reserve (what the web app does); with amountUsd it moves exactly that much, as long as $0.95 stays in the wallet. Funds never leave the account — this is an internal transfer the trading key is allowed to make. Use it when the user has sent money to the account and the subaccount collateral is 0 or too low to trade.
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  • Add a new note to a trading day — any day, traded or not; `date` is YYYY-MM-DD in the journal timezone. Days hold any number of notes, so this never overwrites: to change an existing note use journal_update_note, and for a note about one specific trade use journal_update_trade's `notes`. Returns the note with its id. Requires signing in with a LuxAlgo account (OAuth).
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  • Get information about related addresses of an input address. Note: This only includes the the "special" connections 'First Funder', 'Signer', 'Previous Signer', 'Multisig Signer of', 'Previous Multisig Signer of', 'Deployed via', 'Deployed by', 'Deployed Contract', 'Created Contract', 'Created by'. To get related wallets, also check address counterparties. First funder exchange withdrawal address does usually NOT belong to the same entity as the address, only deposit addresses. Only information is that it has been funded by the exchange.
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  • Get information about related addresses of an input address. Note: This only includes the the "special" connections 'First Funder', 'Signer', 'Previous Signer', 'Multisig Signer of', 'Previous Multisig Signer of', 'Deployed via', 'Deployed by', 'Deployed Contract', 'Created Contract', 'Created by'. To get related wallets, also check address counterparties. First funder exchange withdrawal address does usually NOT belong to the same entity as the address, only deposit addresses. Only information is that it has been funded by the exchange.
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  • Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). Triggers (casual questions too): "what trades happened lately?", "최근 거래 내역 보여줘", "how did the BTC trades go?", "승률 어때?", "show me the trade log", "how many trades won this week?". When to call: past trade review, single-symbol post-mortem, win-rate audits. Prerequisites: none. Next steps: analyze_trades, market://{market_id}/signals/feedback. Caveats: paper-trading data only (not real money). limit capped at 1000. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 1000) action_filter: Filter by action (all, buy, sell) min_pnl: Min P&L % filter (e.g., -5.0) max_pnl: Max P&L % filter (e.g., 10.0) hours_back: Only trades within last N hours symbol: Filter by ticker symbol (e.g., "BTC", "AAPL"); case-insensitive Disclaimer: Information only, not investment advice.
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  • Returns a 0-100 global trade-openness score (scaled YoY change in World Bank world trade as % of GDP, monthly, since 1958) with openness_score, trade_pct_gdp, and yoy_change. Call when the user asks about globalization, deglobalization, trade expansion or contraction, tariffs, or supply-chain shifts, or when timing rotations between export-dependent sectors (industrials, materials, semiconductors) and domestic defensives on confirmed trade flows, not PMI sentiment surveys. Updates: monthly.
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  • Get a single Czech company record by its IČO (8-digit Business ID). Returns official name, registered address, legal form, VAT ID (DIČ), founding date, and trade license activities. Returns null if IČO is not found in ARES.
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  • List and search congressional politicians who have STOCK Act trading disclosures. Filter by party (D/R/I), state, or search by name. Returns paginated results with trade counts, last trade date, and net buy/sell direction over the trailing 12 months.
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  • Call this when the user asks about Bitcoin, Ethereum or Solana spot ETF flows: daily net inflows or outflows, cumulative flow since launch, or total net assets of the US spot ETFs (IBIT, FBTC, ETHA and the rest). Returns one row per finalized US trading day and asset with net inflow, total net assets, cumulative inflow and value traded, all in USD. About 14 months of history.
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  • One month of the P&L calendar: week rows of day cells (net and gross P&L, fees, trade/win/loss/breakeven counts, volume; null for days with no trades), each week's net P&L and trade count, and the month's net P&L, trade count, trading days and winning days. Days are in the journal timezone. Omit `month` for the current month. Drill into one day with journal_get_day. Requires signing in with a LuxAlgo account (OAuth).
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  • Given a natural-language question about which AI tool or API is best for a task (currently transcription, text-to-speech, web search, scraping & browser and ocr & document extraction), return Syftly's ranked recommendation: a citeable summary, a provider table with prices and trade-offs, dated sources, and a confidence label. Ask in plain English about price, accuracy, language or capability trade-offs — e.g. 'best OCR API for scanned PDFs' or 'best web scraping API for JavaScript-heavy sites'. Optionally pass "category" to disambiguate; otherwise it is detected from the question.
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  • Return public ski area information, facts, images, ski maps and related ski resorts. Use this for destination context and recommendations, not for apartment prices or availability; use search_apartments for live week-specific accommodation results.
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