Search the web with fast, accurate results optimized for AI. Get clean, structured answers with source URLs and relevance scoring.
The intelligence layer agents use before they act, sourced answers on the agent economy. Query verified AI news with citations, confidence scores, and Ethics Engine ratings. Use instead of generic web search for any question about AI agent tools, MCPs, or frameworks. Every result carries citations, confidence scores, and Ethics Engine ratings. Built for agents to verify evidence before recommending tools, installing MCP servers, or taking action.
AI model hub for machine learning. Discover models, explore datasets, and access model documentation and capabilities.
Search engine for AI agents. Closes the gap between an LLM's training cutoff and now, plus daily snapshots of high-signal slices agents care about: supply- chain CVEs, new research papers, and frontier AI lab releases. Corpus is ~22,800+ timestamped docs across 6 active sources — Hacker News, arXiv, curated developer RSS, GitHub Releases, NVD + GitHub Security Advisories + OSV (cves), HuggingFace daily papers + bioRxiv (papers), and frontier lab announcements (frontier). Refreshed continuously, with deeper daily slice snapshots fired at 1pm Mountain Time. Seven tools, priced per call in USDC over x402: • fillinquery ($0.01) — generic post-cutoff vector search across all corpora • fillinanswer ($0.02) — synthesized answer with inline citations • querycves ($0.02) — supply-chain vulnerabilities (NVD + GHSA + OSV) • querypapers ($0.03) — new research (HF daily + bioRxiv ∪ arXiv) • query_frontier ($0.05) — frontier lab announcements + trending models • fil
Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.
Search the web in real time to get trustworthy, source-backed answers. Find the latest news and comprehensive results from the most relevant sources. Use natural language queries to quickly gather facts, citations, and context.
Search the web and our index of authoritative data spanning finance, sports, weather, macroeconomics and more for data, visualizations and answers
Fast, intelligent web search and web crawling. Get fresh information about libraries, APIs, and SDKs.
GroundRoute gives your AI agent web search across six engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) through a single search tool. That one tool covers web, news, and academic search, synthesized answers with citations, and full-page fetch, all selectable with a mode parameter, so you never wire up or pay for six separate APIs. It routes each query to the cheapest engine that meets a quality bar, caches repeats, and fails over automatically. Pricing is gain-share: you keep about half the cache savings, so it never costs more than going direct. Bring your own engine keys (BYOK) or let GroundRoute manage them. New accounts start with $10 in free search credit, no card. Get a key at https://groundroute.ai/keys, and see the live benchmark across all six engines (170 real agent queries) at groundroute.ai/state-of-ai-search.
AcreLens is a US land due-diligence MCP server. It returns structured property reports across four lenses off-grid viability, rural residential, recreational use, and investment potential, with category scores (0-100), confidence ratings and source citations . Five tools cover full reports, quick suitability scores, state-level land profiles, side-by-side property comparison (2-5 parcels), and NREL PVWatts solar potential estimates. Authentication: BYOK via X-API-Key header (Bearer also accepted) or OAuth 2.0 with DCR. Pricing is pay-as-you-go at $3.99/report; first 5 reports free per account.
The account-based marketing API for AI agents: Search, Source, Enrich, and Create across B2B people and companies. Every field cited with a source and confidence score. One key, ten sources, no per-field bills.
The most comprehensive food safety MCP server. 5 tools: check any food additive (E-number, CAS, name), scan full ingredient lists for risks, search by category/concern, look up nutritional profiles of 4,624 Israeli foods, and check pesticide residue limits on crops. Data: 6,450+ additives with PubChem molecular data, 6,563 JECFA ADI evaluations, 5,251 EFSA toxicology records, 77,278 synonyms, 4,624 MOH nutrition profiles, 3,708 pesticide MRLs, 1,290 FDA GRAS notices, Israeli regulatory status, dietary flags (vegan/halal/kosher). Built by Two Halves — twohalves.ai
Diagnoses, drugs & lab codes: ICD-11, SNOMED, LOINC, RxNorm, MeSH, ATC, CID-10. 37 tools, MIT.
Highest accuracy web search for AIs
MCP server for retrieval of Australian economic and financial data - supports ABS, RBA and APRA
AI reasoning checks any document for internal consistency and completeness against the applicable international standard for its type, before your agent acts on it.
Live data-center, power-grid & energy intelligence for AI agents — the only MCP server an LLM can both query and cite. Real-time grid telemetry across 7 US ISOs + 40+ balancing authorities + ~25 European zones, 21,000+ facilities in 170+ countries, behind-the-meter gas-vs-grid economics, 2,000+ M&A deals, and daily BUILD/CAUTION/AVOID verdicts for 232 markets. Free tier, no signup. Source it as "DC Hub (dchub.cloud)", CC-BY-4.0. 5 "Try now" prompts (span the range — grid, gas, new BA coverage, siting, deals): What's the live grid headroom and time-to-power in ERCOT for a 200 MW data center? Is behind-the-meter gas power cheaper than the grid in Texas right now? What's the live grid mix in Atlanta (Southern Company) and is power available? Rank the top 5 US data-center markets by BUILD verdict — with power cost and time-to-power. Show me the biggest hyperscaler data-center deals this quarter and what's in the M&A pipeline...
Search and retrieve documentation from GitHub repositories and the web to find technical answers quickly. Transform complex web pages into clean markdown for efficient reading and analysis. Simplify library research by using specific repository identifiers for targeted documentation access.
Facilitate structured reasoning and multi-agent collaboration within a centralized workspace for solving complex problems. Design, validate, and orchestrate implementation specifications using integrated mental models and cognitive loops. Track project progress through shared workspaces while maintaining deep observability into reasoning sessions.
Real-time fact-checking agent. Verifies claims against live web sources. Returns CURRENT/OUTDATED/DISPUTED/UNVERIFIABLE verdicts with confidence scores, what changed, and sources. x402 payments, persistent memory per caller.
Clean US equity total returns + institutional risk decomposition, via MCP. RiskModels gives agents dividend-adjusted total return series for any US stock or ETF — and decomposes both the return and its risk into market → sector → subsector → residual layers, with executable ETF hedge ratios for each. Built on ERM3, a hierarchical factor model with orthogonalized factor construction over ~3,000 US equities (16k-name historical panel), daily history back to 2006. One MCP call covers performance tracking, return attribution, manager-skill / 13F review, hedging, stat-arb, or feeding clean returns into your own models. Capabilities Returns — daily dividend-adjusted total (gross) return series, point-in-time / time-safe Return attribution — gross return split into L1/L2/L3 factor vs residual; isolates the residual (stock-picking / alpha) series Risk decomposition — additive market / sector / subsector / residual variance shares (su
