Academic Evidence Pack
Find 3-10 scholarly candidates for a question or topic. Returns DOI/OpenAlex IDs, authors, year, venue, source URLs, citation context, open-access location, and known retraction/correction warnings. JSON only. Does not claim that a paper proves a statement.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.03 USDC on Base to 0x3bc7…c53f5. The signed payment is good for 1 minute.
- Paid to
- 0x3bc7…c53f5
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 30000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x3bc7011b2ad12c89e768e27c6c27b6548bfc53f5",
"amount": "30000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"limit": 5,
"query": "Does retrieval-augmented generation reduce hallucinations?",
"from_year": 2022,
"open_access_only": false,
"exclude_known_retracted": false
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"stats": {
"cache": "miss",
"latency_ms": 2140,
"duplicates_removed": 1,
"filtered_retracted": 0,
"candidates_retrieved": 15
},
"papers": [
{
"type": "article",
"year": 2024,
"title": "…",
"venue": "…",
"access": {
"is_oa": true,
"source": "openalex",
"license": "cc-by",
"best_url": "https://…",
"confidence": "reported",
"retrieved_at": "…"
},
"authors": [
{
"name": "…",
"orcid": null
}
],
"integrity": {
"note": "No update records found on checked sources. This is not proof of validity.",
"status": "none_found",
"updates": [],
"sources_checked": [
"openalex",
"crossref"
]
},
"relevance": {
"rank": 1,
"score": 0.87,
"reason": "provider relevance; DOI; complete metadata; recent"
},
"provenance": {
"title": {
"source": "openalex",
"retrieved_at": "…"
}
},
"identifiers": {
"doi": "10.xxxx/…",
"openalex": "W…"
},
"source_urls": [
"https://doi.org/10.xxxx/…",
"https://openalex.org/W…"
],
"impact_context": {
"note": "Citation count is impact context from one provider, not a quality score.",
"source": "openalex",
"retrieved_at": "…",
"citation_count": 42
}
}
],
"request": {
"id": "req_…",
"filters": {
"limit": 5,
"to_year": null,
"from_year": 2022,
"open_access_only": false,
"exclude_known_retracted": false
},
"price_usd": "0.03",
"retrieved_at": "2026-09-01T12:00:00.000Z",
"normalized_query": "retrieval-augmented generation reduce hallucinations"
},
"warnings": [
"Candidate evidence only; relevance and citation count do not establish truth or quality. A missing integrity warning does not prove a paper is sound."
],
"partial_failures": []
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"query"
],
"properties": {
"limit": {
"type": "integer",
"default": 5,
"maximum": 10,
"minimum": 3
},
"query": {
"type": "string",
"maxLength": 500,
"minLength": 8,
"description": "Question, claim, or research topic."
},
"fields": {
"type": "array",
"items": {
"enum": [
"papers",
"relevance",
"impact_context",
"access",
"integrity",
"provenance"
],
"type": "string"
},
"description": "Optional response minimization."
},
"to_year": {
"type": "integer"
},
"from_year": {
"type": "integer"
},
"open_access_only": {
"type": "boolean",
"default": false
},
"exclude_known_retracted": {
"type": "boolean",
"default": false,
"description": "Default keeps retracted records but marks them; true filters them."
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-11 10:08Z
- Last indexed by Roundhouse
- 2026-09-24 21:00Z
- Last enriched (probe, favicon, geo)
- 2026-09-12 14:15Z
- x402 version
- 2
- Max timeout
- 60s
- Liveness probe
- HTTP 404
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 20 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Academic Evidence Pack and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Academic%20Evidence%20Pack' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://aep-api.fly.dev/v1/evidence-pack, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.