"Research papers and studies on artificial intelligence" matching MCP tools:

• generate_video

  Sats4AI - Bitcoin-Powered AI Tools

  Generate cinematic video from a text prompt. Uses MiniMax H3 — top 2 on the Artificial Analysis text-to-video leaderboard — with native audio. Async — returns requestId, poll with check_job_status. 768p or 2K (2K is upscaled from a 768p render), 5-15 seconds, priced per second by resolution (native audio free). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_video' and duration, resolution params.

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• searchPapers

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".

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• 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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• list_topics

  bill-commons

  List Bill Commons' curated cross-state topic trackers (e.g. artificial intelligence, youth online safety, platform accountability, cybersecurity, cryptocurrency, data privacy, local government & preemption) -- the entry point for "what subjects does Bill Commons track across all 50 states + DC" and "how do I get every bill in one". Each topic is a title/subject membership rule tuned for precision over recall, with a live bill_count and how_to_fetch_bills. This tool does not itself return bill rows -- pair it with search_legislation or the REST API's /topics/{slug} for the bills.

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• get_evidence

  Rafe Blandford — career and writing

  Return one section of Rafe Blandford's published record. Sections: - `profile` — who he is, what he is looking for, declared expertise and skills, awards, education, identifiers and how to contact him. - `career` — roles, dates, scope and highlights. Exactly what the /career/ page shows. - `case-studies` — the ten published case studies with their summary, lead outcome and a markdown_url for the full post; plus engagements named without a case study, which carry NO outcome claims. ⚠️ Case studies carry TWO kinds of claim. `summary` and `lead_outcome` come from the published post, so a reader can go and check them. `outcomes` is Rafe's own fuller account — self-attested, and it may go further than the post does. Each entry says so in `outcomes_evidence_basis`. Attribute it that way rather than as published fact, and never blend the two into one figure. - `provenance` — how authorship is labelled on this site, and the usage terms for the content. For writing, use search_writing to find a slug and get_post to fetch it. Everything returned is already public on rafeblandford.com.

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• create_study

  Minds: Synthetic Market Research Panels

  Creates a new Study workspace from existing Audiences or inline Audience configurations; it does not ask questions or run research. Follow-up research in an existing Study does not require another Study. Every questionnaire, survey, battery, section, cohesive question set, or request with two or more known questions belongs in one planned and confirmed multi-question block inside that Study. Never submit such a known set as separate direct questions. A direct question is appropriate only when exactly one standalone question is known or the next question depends on earlier results. Composite creation is atomic and rolls back partial Audience failures. Studies are private by default; enabling link sharing also publishes the attached Audiences and Minds.

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• get_stratalize_overview

  Stratalize Real Estate

  START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

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• get_stratalize_overview

  Stratalize Healthcare

  START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

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• get_stratalize_overview

  Stratalize Crypto & DeFi

  START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

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• get_api_key

  Thisispaper

  Mint a FREE Thisispaper Intelligence API key (200 calls/month) for an email address. The key is shown once; use it as Authorization: Bearer tip_live_... on this MCP endpoint and on the REST API. Max 3 keys per email.

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• lion_trend_intent_signal_json

  LION Trend Intent MCP

  Hardware-wallet buyer-intent + self-custody onboarding-friction intelligence as JSON. Non-PII public-signal feed covering: Ledger vs Trezor comparison demand, Bitcoin-only wallet research, under-$100 wallet shopper queries, DeFi hardware-wallet intent, and adjacent decision-stage crypto purchase research. Designed for agent routing, affiliate / comparison-content workflows, and research context. Pay $0.01 USDC on Base mainnet via x402 (HTTP 402 + EIP-3009 transferWithAuthorization) at the paid route. This MCP tool does NOT return the dataset; tools/call returns payment-required metadata so an x402-capable client can settle and fetch the JSON directly.

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• get_case_study

  LeanScale GTM Knowledge

  Retrieve LeanScale customer case studies — the problem the company had and how it was solved. Public keys get an anonymized version: customer names, people, third parties and delivery provenance are stripped, and outcomes/metrics/quotes are withheld. Internal keys get the full named studies. Search by sector, the kind of engagement, or the systems involved — searching by customer name will not work on a public key, because the names are not in the public corpus.

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• get_stratalize_overview

  Stratalize Governance

  START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

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• get_stratalize_overview

  Stratalize Finance

  START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

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• citations

  Opencitations

  "Who cites paper [DOI]" / "what papers reference [DOI]" / "incoming citations to [paper]" / "what work has cited [study]" — DOIs that CITE the given DOI (reverse-direction from references). Use for impact analysis, follow-on research discovery, "is this paper influential" questions.

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• search_research

  Heista

  Structured fact-check + numerical research via Perplexity Sonar Reasoning Pro (Gateway-routed). Returns synthesized answer text plus structured sources[] with direct URLs to primary sources. Use for: specific numerical claims with methodology context, fact-check against primary sources, effect sizes + confidence intervals, earnings transcripts / SEC filings / research papers. Per Phase 3.5 empirical A/B: 2-3× cheaper than sonar-pro with comparable or better quality on structured research. Real Meta IR press releases + earnings transcripts on Desk. 17 cites on Quant. NOT for: Reddit/X/community → use search_community. NOT for: broad topic landscapes → use search.

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• search_documents

  Federal Register

  Search the US Federal Register by topic / keyword for proposed rules, final rules, notices, and presidential documents. **Use this whenever the question mentions a SUBJECT** ("EV tax credits", "AI export controls", "PFAS regulations", "clean energy", "ozempic labeling", etc.) — recent_rules takes no topic filter and would return random unrelated rules. Returns title, abstract, agency, publication date, links. Examples: search_documents({query: "EV tax credit", type: "rule"}), search_documents({query: "artificial intelligence", agency: "commerce-department"}), search_documents({query: "Strait of Hormuz", since: "365d"}). Pass `since` to constrain to recent documents — without it the relevance ranker can return decade-old docs for sparse-term queries.

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• get_case_studies

  Eveoy — Verified In-Store Foot Traffic ($24.99/customer)

  List Eveoy case studies and lookbooks — links to the full write-ups on eveoy.com's newsletter archive. Returns pointers, not article text: open a url to get the full experience (images, related links, and in-page options to book a demo or check out). Use this when the user wants to: - See proof, results, or success stories from real Eveoy campaigns - Browse case studies by industry, or the latest lookbook - Get a link to read a specific case study or the archive Trigger phrases include: "case studies", "success stories", "show me results", "do you have proof", "lookbook", "examples of campaigns". Returns: { archive_url, items: [{ kind, slug, title, url }], note }. Every url points back to eveoy.com. kind is one of case_study | lookbook | playbook. Do NOT use this for: pricing (use get_pricing), general questions (use ask_eveoy), or the live business directory (use search_directory). Cost: free. Latency: 1–2s (sitemap, cached 10 min). Read-only. Idempotent.

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• waveguard_volume_check

  WaveGuard

  Detect wash trading and fake volume in OHLCV candle data. Send known-legitimate candles as training and suspect candles as test. Detects artificial volume spikes, suspiciously regular patterns, and manipulated price-volume relationships. Example: Send 100 candles from a liquid pair as baseline, test candles from a suspicious pair.

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• case_studies.find_relevant

  ITEON MCP Server

  Find ITEON real-world case studies (banking, insurance, government, custom apps, mobile, e-commerce, energy) matching a topic, technology, or industry. Use when user asks "who can build X" or "anyone done Y before". Returns 1-3 actual ITEON projects from portfolio with stack, period, outcomes, and link to full case study on iteon.pl.

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