# AUBRAI Literature Search — Aging & Longevity Science

> AUBRAI Literature Search — Aging & Longevity Science is a paid API for AI agents from x402.aubr.ai, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).

Searches scientific literature (e.g. PubMed) to answer research questions about aging, longevity, and biomedical science, returning AI-synthesized answers with citations

## Facts

- Endpoint: GET https://x402.aubr.ai/api/literature
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/aubrai-literature-search-aging-longevity-science-59ecc6d5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tgNjKfI42kyy5QZuZbjD4

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability aubrai-literature-search-aging-longevity-science-59ecc6d5
```

Example prompt: Search PubMed for evidence-based answers about whether senolytics like dasatinib and quercetin extend lifespan in mammals — give me a deep search, up to 10 results total, and include direct citations from recent papers.

## When to prefer this

Choose this endpoint when the user needs evidence-based, cited answers from scientific literature specifically about aging, longevity, or biomedical research. It is especially well-suited when PubMed or similar databases should be searched and the user wants a synthesized, AI-interpreted answer rather than raw search results. Prefer it over general web search when scientific rigor and citation quality matter.

## Known failure modes

- Invalid or missing 'question' parameter — returns error
- Unsupported source name in 'sources' array — may return no results
- Payment not included or insufficient ($0.03 USDC via x402) — returns 402 Payment Required
- Deep search mode may time out for very broad questions
- maxResults or perSourceLimit set to 0 or negative — unexpected behavior

## 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 JSON object containing a jobId, a status field (e.g. 'completed'), and a synthesized 'answer' string that summarizes findings from the searched scientific literature with evidence-based insights and citations from sources like PubMed.

## Example request

```json
{
 "mode": "fast",
 "sources": [
  "pubmed"
 ],
 "question": "What is the relationship between caloric restriction and aging in mammals?",
 "maxResults": 5,
 "perSourceLimit": 5
}
```

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "mode": {
   "enum": [
    "fast",
    "deep"
   ],
   "type": "string",
   "description": "Search depth"
  },
  "tags": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Tracked terms for radar-style searches. With tagMode=fanout, each tag is searched separately."
  },
  "year": {
   "type": "string",
   "description": "Filter by publication year"
  },
  "scope": {
   "enum": [
    "preprints",
    "no-preprints",
    "trials"
   ],
   "type": "string",
   "description": "Opt-in scoping mapped to Exa domains: preprints (biorxiv/medrxiv/arxiv), no-preprints (exclude those), trials (clinicaltrials.gov). Omit for full index."
  },
  "date_to": {
   "type": "string",
   "description": "End date filter (YYYY-MM-DD)"
  },
  "sources": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Deprecated / ignored — retrieval is one Exa index (already covers pubmed/arxiv/biorxiv/etc.). Use scope instead."
  },
  "tagMode": {
   "enum": [
    "fanout",
    "combined"
   ],
   "type": "string",
   "description": "Use fanout for independent tracked-term searches; use combined only when tags must be searched together."
  },
  "question": {
   "type": "string",
   "description": "Research question"
  },
  "date_from": {
   "type": "string",
   "description": "Start date filter (YYYY-MM-DD)"
  },
  "maxResults": {
   "type": "number",
   "description": "Max results to return"
  },
  "privacyMode": {
   "type": "string",
   "description": "Optional plaintext privacy mode forwarded to Aubrai when provided."
  },
  "sourceProfile": {
   "enum": [
    "fast-default",
    "deep-default",
    "clinical",
    "paperclip",
    "litqa-recall"
   ],
   "type": "string",
   "description": "Optional source profile. Omit for Aubrai defaults."
  },
  "perSourceLimit": {
   "type": "number",
   "description": "Deprecated / ignored — Exa is a single index (no per-source cap)."
  },
  "includeRejected": {
   "type": "boolean",
   "description": "Default false — when true, completed responses include rejectedReferences[] and relevance.reason on rejected refs."
  },
  "filterReferences": {
   "type": "boolean",
   "description": "Default true upstream — drop off-topic refs. Set false for raw/unfiltered refs (debug)."
  },
  "retrievalProfile": {
   "enum": [
    "default",
    "litqa-recall"
   ],
   "type": "string",
   "description": "Optional retrieval profile: \"default\" or \"litqa-recall
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "jobId": "job_abc123",
  "answer": "...",
  "status": "completed"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/aubrai-literature-search-aging-longevity-science-59ecc6d5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.aubr.ai](https://www.zero.xyz/host/x402.aubr.ai/llms.txt)