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Paul Graham Persona Corpus Retrieval
x402
Paul Graham Persona Corpus Retrieval is a paid API for AI agents from paulgraham.persona.energy, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Semantically searches Paul Graham's source corpus (essays, talks, interviews, X posts) and returns grounded evidence packets with citations
Price / call$0.01
Success—
StatusUnknown
How this service works
Search Paul Graham's source corpus — a source-grounded persona of the Y Combinator co-founder and essayist, built from 13,000+ cited sources: his complete essays, talks, interviews, and X posts — by semantic + lexical query and retrieve grounded packets (graded claims, quotes, evidence with citations). POST a JSON body { query, limit? (<=100), packetTypes? }. Flat micro-price per query.
Output
Returns a list of grounded evidence packets (claims, quotes, or facts) drawn from Paul Graham's source corpus, each accompanied by citations pointing back to the original essay, talk, interview, or X post. Results are ranked by semantic and lexical relevance to the query, up to the requested limit (max 100, default 20).
Example use cases
Founder advice research for pitch deck
“Pull up to 20 grounded claims or quotes from Paul Graham's essays and interviews about what makes a great founding team — I want cited sources I can reference.”
Debate prep on startup growth philosophy
“Search Paul Graham's corpus for his views on growth vs profitability in early-stage startups, and return his key arguments as grounded claims with citations — give me up to 15 results.”
YC application guidance surfacing
“Find what Paul Graham has said about what Y Combinator looks for in applicants — return up to 10 quotes or facts from his essays and talks with citations.”
Technical details
Endpoint
POSThttps://paulgraham.persona.energy/v1/x402/entities/paul-graham/retrieveWhen to prefer
Choose this endpoint when you need source-grounded, citable evidence from Paul Graham's specific body of work — essays, talks, interviews, and X posts — rather than a generative answer that may hallucinate. Ideal when citations and verifiability matter, such as research, debate prep, or content creation. Prefer this over general LLM queries about Paul Graham when you need direct quotes with provenance, or over a conversational Ask-PG endpoint when you want raw evidence packets rather than synthesized answers.
Side effects
- Query string is empty or exceeds 1000 characters — validation error returned
- limit exceeds 100 — rejected by schema validation
- packetTypes filter contains unrecognized type strings — may return empty or partial results
- Payment not provided or insufficient USDC — x402 payment required error
- No relevant packets found for obscure or off-topic query — empty result set returned
- Network timeout on large limit requests
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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