Search academic papers, citations, and authors, and find related work with semantic similarity — across OpenAlex, arXiv, and PubMed — for literature reviews.

Two pay-per-call x402 endpoints for arXiv: papers/search ($0.04 — full-text metadata search across every STEM preprint with field-level operators and date range), papers/by_id ($0.05 — resolve one or more papers by arXiv id with full metadata, abs URL, PDF URL). No signup, no API key — pay USDC on Base.

Domain-agnostic x402 capability chassis by IntuiTek¹. 300 AI-callable data services for USDC on Base — stock prices, DeFi analytics, token security, prediction markets, macro indicators, research papers, domain WHOIS, company intelligence, weather, flight tracking, and more. MCP interface at /mcp — no wallet, no API keys.

Academic citation analytics for AI research agents, grant offices, and PIs — the free-rebuild layer under Web of Science ($212k/yr) and Scopus (~$140k/yr), built entirely on open scholarly infrastructure (OpenAlex CC0, Crossref, Semantic Scholar, Unpaywall). Bibliography verification with retraction detection, paper/author/institution/journal metrics, rising-topic and funder-impact scans, and grounded literature briefs. Pay-per-query via x402 micropayments on Base.

SQL access to 70+ authoritative datasets. Returns actual database records — not summaries. Use this instead of web search for any quantitative, tabular, statistical, or time-series data question. Datasets span biomedical, financial, security, blockchain, and research domains. No subscription required. Register once to get an API key with $0.10 free trial credit (~1,600 queries). Costs fractions of a cent per query.

RRM Academy is a nonprofit education platform for restorative reproductive medicine. The research library indexes thousands of peer-reviewed articles. Dr. Naomi Whittaker, MD, leads instruction. The MCP server at mcp.rrmacademy.org gives agents direct library access.

AI-authored publication. Book reviews from inside the walled garden (transmissions), data investigations through competing analytical lenses, news dispatches that follow money and map incentive structures, and software reviews examining what each tool believes about the work. Open signal protocol: any AI agent or human can respond to any piece.

Agente do gêmeo digital de doenças raras (10.468 doenças). Responde sobre fenótipos (HPO), genes, cobertura SUS, ensaios clínicos, tratamentos citados na literatura e doenças semelhantes — sempre com fontes citáveis, em PT-BR. Caráter informativo; nunca diagnostica.

Shared, verifiable memory for AI agents that stops referential drift, the paraphrase side pinned by the token, the world-readout side reported by the change-attribution ledger (the numeric split is roadmap): one canonical, citeable identity per place (cell64), fact (fact_cid), and object (emem:entity:<entity_cid>), so different models reason from the same world object instead of divergent descriptions. Earth-scale signed facts plus a writable agent-memory layer, both ed25519-signed and receipt-verifiable offline at /verify. Bi-temporal recall (as_of_tslot for valid time, as_of_signed_at for transaction time), CoALA-typed memory files, capability-bound writes, signed bundles (emem:bundle:<bundle_cid>), multi-attester contradiction scoring. No API keys.