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Paul Graham Corpus Retrieval — researcher.now
x402
Paul Graham Corpus Retrieval — researcher.now is a paid API for AI agents from researcher.now, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Semantically and lexically searches Paul Graham's complete essay, talk, interview, and X post corpus, returning grounded evidence packets (claims, quotes, 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
An array of grounded evidence packets, each containing a typed item (claim, quote, or fact), the verbatim or paraphrased text, a relevance/grade signal, and one or more citations pointing to the specific Paul Graham essay, talk, interview, or X post from which the content was sourced.
Example use cases
Startup advice evidence gathering
“Pull up to 15 grounded quotes and claims from Paul Graham's corpus about how early-stage founders should think about growth — I want direct quotes with citations so I can reference them properly.”
Fact-checking a Paul Graham attribution
“Search Paul Graham's essays and talks for whether he ever said 'do things that don't scale' — retrieve relevant quote packets so I can verify the exact wording and source.”
Research briefing on PG's AI views
“I'm writing a piece on influential tech thinkers and AI — search Paul Graham's corpus for everything he's said about artificial intelligence and return up to 20 evidence packets, filtering for claims and quotes only.”
Technical details
Endpoint
POSThttps://researcher.now/v1/x402/entities/paul-graham/retrieveWhen to prefer
Choose this endpoint when you need source-grounded, citable evidence from Paul Graham's known body of work — essays, talks, interviews, and public posts — rather than a generated or paraphrased answer. It is superior to a general web search when you need precise attribution, when you want to avoid hallucinated PG quotes, or when downstream tasks require verified citations. Prefer the sibling 'Ask Paul Graham' endpoint if you want a conversational answer synthesized from the corpus rather than raw evidence packets.
Side effects
- Query string missing or empty — returns 400 validation error
- Limit exceeds 100 — rejected by schema validation
- No matching packets found for a very narrow or obscure query — returns empty result set
- packetTypes filter contains unrecognized type strings — may silently ignore or return error
- Payment not settled via x402 — request blocked before processing
- Query too long (>1000 characters) — rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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