"Information about Open Source Intelligence (OSINT)" matching MCP tools:

• regulatory_search_open_rulemakings

  DataNexus MCP

  Search open rulemakings and public comment periods on Regulations.gov and the Federal Register. Read-only. No side effects. Idempotent. US federal only. keyword: Topic keywords e.g. artificial intelligence, data privacy. Required. agency: Agency abbreviation e.g. FTC, FDA, SEC, EPA. Optional, defaults to all agencies. status: One of open, closed, or all. Optional. Default open. Returns docket title, agency, comment deadline, docket ID, and document count. Use this when monitoring regulatory activity on a topic. Use regulatory_fetch_docket_details instead when you have a docket ID and need full detail. Verified source: Regulations.gov + Federal Register. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="regulatory_search_open_rulemakings", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

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• osint_investigate_infrastructure_start

  dns

  Start an async deep-infrastructure OSINT investigation for a query (domain, IP, or org). Operator-deploy only; degrades to info when unprovisioned. Returns an investigationId immediately — poll with osint_investigation_status.

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• get_source_accuracy

  Crank Protocol

  Historical directional hit-rate of each intelligence source (free read). Returns per-source accuracy stats for the intelligence signal sources (Coin Bureau / YouTube, RSS, Fear & Greed API, on-chain), so an agent can weight a source's calls by how often its bullish/bearish reads have played out. Each source carries a ``windows`` map over rolling 7d/30d/90d periods, each with total resolved calls, correct/incorrect counts, and accuracy_pct; sources with no resolved calls yet are omitted, and results are ranked by longest-window accuracy. windows optionally narrows the periods (subset of [7,30,90]); source_type optionally filters by source kind (youtube, rss, api, on_chain). Accuracy = the directional call vs the realised Birdeye price over the prediction window. Past accuracy is not a guarantee. Not financial advice. Workflow: INTELLIGENCE step -- pair with get_market_briefing to discount or trust a signal by its source's track record before sizing a position.

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• list_skills

  mcp

  START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.

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• osint_investigate_username_start

  dns

  Start an async OSINT investigation for a username (cross-platform presence, breach correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.

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• get_housing_vouchers

  HUD Housing Data

  Get Housing Choice Voucher (Section 8) program data by Public Housing Agency. Returns information about voucher programs administered by PHAs in the specified state, including total vouchers, utilization rates, and spending. Queries HUD ArcGIS open data (no auth required). Args: state: Two-letter US state abbreviation (e.g. 'CA', 'NY'). limit: Maximum number of records to return (default 50, max 500).

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• subscribe_to_newsletter

  IndustryLens

  Sign the user up for IndustryLens's weekly intelligence-report newsletter. Use this only after the user explicitly asks to subscribe — never subscribe an email without their direct, informed consent. The source argument is recorded for attribution and defaults to 'mcp'.

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• get_security_profile

  mcp

  Comprehensive security and compliance information for Everstake: certifications, audits, infrastructure security, and compliance standards. Use when users need security details, compliance verification, or trust/safety information about Everstake's operations.

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• neuron_get_ad_request

  neuron

  Get detailed information about a specific ad request, including pool selections if targeting mode is manual.

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• deep_research_topic

  Fodda Deep Research

  Launch an autonomous Deep Research session that combines Fodda knowledge graph intelligence with live web research to produce a comprehensive editorial-quality report. The Research Agent plans its own strategy, searches multiple graphs, validates with institutional data, and synthesizes into a narrative brief with inline source citations. Use for complex, multi-faceted questions that need both curated expert intelligence AND current web context — e.g., strategic briefings, market landscape reports, competitive deep dives. Price: $55 (light mode) or $100 (heavy mode). Automatically includes earnings-call intelligence and macro/supplemental data when the topic warrants it (public companies, sectors, economic conditions). You do not need to call the earnings or supplemental tools separately before or after.

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• osint_investigate_email_start

  dns

  Start an async OSINT investigation for an email address (breach exposure, account correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.

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• list_feeds

  Ai Feeds

  List the curated artificial-intelligence feeds (id, title, category, source). Optionally filter by category (ai) or keyword. Pass an id to read_feed.

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• get_job_openings_intelligence

  Stratalize Finance

  JOLTS labor market intelligence from BLS: job openings, quits rate, layoffs rate, and tight/loose/normal interpretation. Use for workforce planning, wage pressure forecasting, and recession early-warning agents. Source: BLS JOLTS. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.

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• get_current_dannet_server

  dannet

  Get information about the currently active DanNet server. Returns: Dict with current server information: - server_url: The base URL of the current DanNet server - server_type: "local", "remote", or "custom" - status: Connection status information Example: info = get_current_dannet_server() # Returns: {"server_url": "https://wordnet.dk", "server_type": "remote", "status": "active"}

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• get_service_info

  booking

  Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.

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• list_feeds

  Signal Oracle

  List every change-intelligence feed: source slug, label, the question each answers, per-call prices, paid x402 endpoints, and free discovery URLs. There are ~120 feeds, so pass `category` to filter (e.g. 'security', 'regulatory', 'packages', 'premium', 'infrastructure', 'compliance') and/or `compact: true` to keep the payload small. Use the returned `source` slug with preview_feed.

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• adw.sample

  AlpineDataWorks Intelligence Server

  FREE sample — no API key or credits required. Returns one complete, non-premium AlpineDataWorks Intelligence Object (score 0-100, band, top drivers, confidence, freshness, source lineage) so you can see exactly what a paid metric looks like. Call this first to try the data before subscribing.

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• analyze_public_filing

  Amalgix

  Crucible™ Financial Filing Intelligence for public filings and annual reports. Accepts content, filingUrl, or SEC ticker/CIK lookup for 10-K, 10-Q, and 20-F filings. Returns metrics, risk changes, contradictions, source evidence, confidence, and a not-investment-advice flag.

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• query_network_brief

  agentberg

  Get a structured pre-trade consensus signal for a sector and/or market regime. Returns a single verdict (green/amber/red), the network win rate, cumulative agent P&L, and the top 3 most-voted findings. Call this in under 300ms before entering a trade to check what the collective agent network thinks about this sector right now. No agent_id required — this is open-access intelligence.

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• get_onboarding_experience

  Fluentive MCP

  Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.

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