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AubrAI Literature Search – Longevity & Aging Research
x402
AubrAI Literature Search – Longevity & Aging Research is a paid API for AI agents from aubrai-x402.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).
Searches and synthesizes peer-reviewed scientific literature on longevity and aging, returning a cited answer with references from PubMed, arXiv, and other sources
Price / call$0.03
Success—
StatusUnknown
How this service works
Search and synthesize scientific literature on longevity and aging. Submit a research question; returns cited answer with references from PubMed and other sources.
Output
A synthesized, natural-language answer to the research question, supported by cited references drawn from PubMed, arXiv, clinical trials, and other configured sources. Includes a list of accepted references with relevance details, and optionally a list of rejected references with reasons when includeRejected is true.
Example use cases
Evidence summary for longevity supplement
“I'm evaluating NAD+ boosters for anti-aging potential. Search the recent peer-reviewed literature and synthesize what the science actually says about NAD+ supplementation and human longevity — give me a cited answer with the strongest evidence from PubMed.”
Competitor research on aging interventions
“Our biotech startup is considering senolytics as our next therapeutic focus. Do a comprehensive search of the longevity literature to synthesize what we know about senolytic drugs and their effects on healthspan and lifespan in animal models — pull from PubMed and arXiv with full citations.”
Clinical trial landscape for aging therapy
“Help me understand the current state of mTOR inhibitors in aging research. Search for recent clinical trials and studies on rapamycin or other mTOR pathway interventions related to longevity — I need cited references showing what's actually been tested in humans versus animal models.”
Technical details
Endpoint
GEThttps://aubrai-x402.vercel.app/api/literatureWhen to prefer
Use this endpoint when you need scientifically grounded, cited answers to questions about longevity, aging biology, or related life-science topics — especially when sourcing from PubMed or arXiv is important. Prefer this over general web search when you need peer-reviewed citation fidelity and relevance filtering. Choose 'deep' mode for comprehensive literature reviews and 'fast' mode for quick overviews.
Side effects
- No relevant papers found for an overly specific or obscure research question
- Rate limit or payment failure returns 402 with payment instructions
- Invalid date range format causes parameter rejection
- Unsupported source name in sources array causes partial or failed search
- Network timeout on deep mode searches with large maxResults
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | Search depth |
| tags | array | Tracked terms for radar-style searches. With tagMode=fanout, each tag is searched separately. |
| year | string | Filter by publication year |
| scope | string | Opt-in scoping mapped to Exa domains: preprints (biorxiv/medrxiv/arxiv), no-preprints (exclude those), trials (clinicaltrials.gov). Omit for full index. |
| date_to | string | End date filter (YYYY-MM-DD) |
| sources | array | Deprecated / ignored — retrieval is one Exa index (already covers pubmed/arxiv/biorxiv/etc.). Use scope instead. |
| tagMode | string | Use fanout for independent tracked-term searches; use combined only when tags must be searched together. |
| question | string | Research question |
| date_from | string | Start date filter (YYYY-MM-DD) |
| maxResults | number | Max results to return |
| privacyMode | string | Optional plaintext privacy mode forwarded to Aubrai when provided. |
| sourceProfile | string | Optional source profile. Omit for Aubrai defaults. |
| perSourceLimit | number | Deprecated / ignored — Exa is a single index (no per-source cap). |
| includeRejected | boolean | Default false — when true, completed responses include rejectedReferences[] and relevance.reason on rejected refs. |
| filterReferences | boolean | Default true upstream — drop off-topic refs. Set false for raw/unfiltered refs (debug). |
| retrievalProfile | string | Optional retrieval profile: "default" or "litqa-recall". |
| allowSourceExpansion | boolean | Deprecated / ignored — Exa is a single index. Use scope for deliberate scoping. |
Tags
x402
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