Search and synthesize scientific literature on longevity and aging
Search and synthesize scientific literature on longevity and aging. Submit a research question; returns cited answer with references from PubMed and other sources.
30000 (raw units)
price
3
calls / 30d
2
unique payers
2026-09-14
updated
Provider
x402-api.aubr.ai · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x44dC2dceaA22c7EF6B2E2cF2362Fd3FB476b7c2C",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "30000",
"maxTimeoutSeconds": 1800
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"body": {
"filterReferences": true,
"includeRejected": false,
"mode": "deep",
"question": "Research radar for longevity tracked terms",
"retrievalProfile": "litqa-recall",
"sourceProfile": "clinical",
"sources": [
"pubmed"
],
"tagMode": "fanout",
"tags": [
"NAD+",
"autophagy"
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"jobId": "lit_abc123",
"quality": {
"acceptedCount": 5,
"evidenceThin": false,
"filtered": true,
"lowConfidence": false,
"rawCount": 12,
"rejectedCount": 7,
"rejectionReasons": {
"low_query_overlap": 4,
"low_relevance": 3
}
},
"status": "queued"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"allowSourceExpansion": {
"description": "Deprecated / ignored — Exa is a single index. Use scope for deliberate scoping.",
"type": "boolean"
},
"date_from": {
"description": "Start date filter (YYYY-MM-DD)",
"type": "string"
},
"date_to": {
"description": "End date filter (YYYY-MM-DD)",
"type": "string"
},
"filterReferences": {
"description": "Default true upstream — drop off-topic refs. Set false for raw/unfiltered refs (debug).",
"type": "boolean"
},
"includeRejected": {
"description": "Default false — when true, completed responses include rejectedReferences[] and relevance.reason on rejected refs.",
"type": "boolean"
},
"maxResults": {
"description": "Max results to return",
"type": "number"
},
"mode": {
"description": "Search depth",
"enum": [
"fast",
"deep"
],
"type": "string"
},
"perSourceLimit": {
"description": "Deprecated / ignored — Exa is a single index (no per-source cap).",
"type": "number"
},
"privacyMode": {
"description": "Optional plaintext privacy mode forwarded to Aubrai when provided.",
"type": "string"
},
"question": {
"description": "Research question",
"type": "string"
},
"retrievalProfile": {
"description": "Optional retrieval profile: \"default\" or \"litqa-recall\".",
"enum": [
"default",
"litqa-recall"
],
"type": "string"
},
"scope": {
"description": "Opt-in scoping mapped to Exa domains: preprints (biorxiv/medrxiv/arxiv), no-preprints (exclude those), trials (clinicaltrials.gov). Omit for full index.",
"enum": [
"preprints",
"no-preprints",
"trials"
],
"type": "string"
},
"sourceProfile": {
"description": "Optional source profile. Omit for Aubrai defaults.",
"enum": [
"fast-default",
"deep-default",
"clinical",
"paperclip",
"litqa-recall"
],
"type": "string"
},
"sources": {
"description": "Deprecated / ignored — retrieval is one Exa index (already covers pubmed/arxiv/biorxiv/etc.). Use scope instead.",
"items": {
"type": "string"
},
"type": "array"
},
"tagMode": {
"description": "Use fanout for independent tracked-term searches; use combined only when tags must be searched together.",
"enum": [
"fanout",
"combined"
],
"type": "string"
},
"tags": {
"description": "Tracked terms for radar-style searches. With tagMode=fanout, each tag is searched separately.",
"items": {
"type": "string"
},
"type": "array"
},
"year": {
"description": "Filter by publication year",
"type": "string"
}
},
"required": [
"question"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"bodyType",
"body",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://x402-api.aubr.ai/api/literature" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://x402-api.aubr.ai/api/literature");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://x402-api.aubr.ai/api/literature")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/4180.json, and this resource appears in /discovery/resources and /discovery/search.