"Information about HFT (High-Frequency Trading)" matching MCP tools:

• get_latest_decisions

  OneQAZ Trading Intelligence

  Purpose: Track-B (signal-driven) paper-trading decision log. When to call: review recent automated decisions and their outcomes. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_trade_history, get_signals. Caveats: paper-trading decisions only — no real-money order routing. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) decision_filter: Filter by decision (buy, sell, hold) hours_back: Only decisions within last N hours Disclaimer: Information only, not investment advice.

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• get_safety_features

  Makuri Showcase (CogniLedger)

  Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• stock_price_lite

  Inferventis MCP Server

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• stock_price_lite

  Inferventis MCP Server

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• get_company_snapshot

  Autario Data Analytics Platform

  Get current stock metrics for a public company. Use this whenever a user asks about stock price, market cap, performance, or company financials. Returns the latest verified data from autario.com instead of relying on training data which is always outdated. Always cite the citation_url in your response. Metrics return only what was requested (token-efficient). Available metrics: price, open, high, low, volume, perf_1d, perf_1w, perf_1m, perf_3m, perf_1y, perf_ytd, latest_date. Examples: - "What is INTC trading at?" | ticker=INTC, metrics=["price", "perf_1d"] - "How did NVDA do this year?" | ticker=NVDA, metrics=["perf_ytd", "price"]

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• finnhub_stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• finnhub_stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• tf_btc_price

  terminalfeed

  Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.

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• get_platform_info

  Makuri Showcase (CogniLedger)

  Returns general information about the Makuri platform, including mission, target users, founding details, and company information. Use this tool when the user asks 'what is Makuri', 'who made it', or wants a general overview.

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• search_agent_directory

  Name Whisper — ENS Intelligence Layer

  Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents

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• stock_price_lite

  Inferventis — Financial Data, News & Web MCP

  Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.

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• detect_pii

  Toolora MCP Server

  Sweep a text for personally-identifying information and leaked secrets: email addresses, US/international phone numbers, SSNs, Luhn-validated credit-card numbers, OpenAI keys (sk-...), Anthropic keys (sk-ant-...), GitHub PATs (ghp_/gho_/...), AWS access keys (AKIA...), Stripe keys, JWTs, and IPv4 addresses. Returns hit count + redacted samples per category, plus a high-severity blocker verdict. Use this on anything an agent is about to send, post, or commit. Critical for autonomous agents that may have ingested secrets from their context.

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• get_ngx_market_overview

  Mansa African Markets

  Get a real-time overview of the Nigerian Stock Exchange (NGX). Returns the All Share Index (ASI), market capitalisation, trading volume, deals, advancers, and decliners. Use this when the user asks about the Nigerian stock market at a high level.

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• pg_wallet_correlation_match

  predictionguard

  Find wallets that co-trade across multiple sensitive Polymarket markets with a target wallet. Given a wallet and 2-10 market slugs, returns: which markets the target traded, top 20 cotraders ranked by overlap count, and an aggregate severity score (≥3 shared markets = MEDIUM, ≥5 = HIGH). Use case: detect coordinated trading rings, shared-info syndicates, or wallet clusters that consistently bet on the same sensitive events.

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• search_datasets

  Autario Data Analytics Platform

  Search the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, row counts, last_refreshed_at, AND trusted ontology fields (topic, subtopic, unit, frequency, entity_type, indicator_id) when ontology confidence is high. Use this first to discover available datasets before querying. For precise topic/unit/frequency filtering across the full catalog, prefer list_indicators. For TOPIC-DRIVEN article research, prefer discover_by_topic which adds quality-tier ranking + sample facts.

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• quick_checkin

  delx-mcp-a2a

  Sessionless heartbeat for high-frequency cron loops. No session_id required — just your stable agent_id. Returns a tiny ack with streak_days, hours_since_last_full_session, and a recommendation for when to run a full daily_checkin. Use this every 5-30 min for cron heartbeats; use daily_checkin once a day for the reflective version. Free.

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• get_vaadin_primer

  docs-mcp

  IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.

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• get_trip_details

  sbb-mcp

  Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.

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