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Hacker News Discussion Search: Search, Retrieval, and RAG Systems
x402
Hacker News Discussion Search: Search, Retrieval, and RAG Systems is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Searches public Hacker News stories specifically about search, retrieval, and RAG (Retrieval-Augmented Generation) systems, returning titles, links, scores, authors, and timestamps.
Price / call$0.01
Success—
StatusUnknown
How this service works
Hacker News discussion search: search, retrieval, and RAG systems: Search public Hacker News stories for search, retrieval, and RAG systems. Returns story titles, links, scores, authors, and timestamps.
Output
Returns a list of up to 10 Hacker News stories matching the query, each containing the story title, URL link, community score (upvotes), author username, and publication timestamp.
Example use cases
Researching RAG framework community sentiment
“Pull up the top 5 Hacker News stories discussing RAG pipelines and retrieval-augmented generation — I want to see what practitioners are talking about, with authors and scores.”
Monitoring HN for search infrastructure trends
“Search Hacker News for recent discussions about semantic search and embedding-based retrieval systems, give me up to 8 results with links and timestamps.”
Competitive research on retrieval tooling
“Find Hacker News threads where people are comparing search and retrieval tools or debating vector databases — show me the titles, scores, and links for the top 7.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/demand-next-community-search-and-retrieval-operators?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need community discussion signals from Hacker News about search, retrieval, or RAG systems — particularly when you want scored, author-attributed stories with timestamps rather than generic web search results. Ideal for tracking tech community sentiment, discovering practitioner debates, or gathering references shared among developers in the search/AI space.
Side effects
- No results found if query is too niche or no matching HN stories exist
- max_results out of range (must be 1–10) may return an error
- Network or provider downtime may cause request failure
- Overly broad queries may return loosely relevant results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Optional focused search query. |
| max_results | integer |
Tags
x402
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