Structured search API for LLM agents. No hallucinations. Full control over results.
LLMs hallucinate when they don't have reliable data to query. You end up building custom search logic for every agent. We give agents a single, structured search interface they can trust.
Return JSON schemas, not free-text. Agents compose queries without guessing at field names.
Agents get predictable results. No relevance tuning surprises. No interpretation drift.
Combine AND, OR, NOT. Agents nest conditions the way they think, without syntax translation.
Trim results in-engine. Return exactly what the agent needs. Smaller prompts, faster inference.
Embed your docs, index them once. Agents query with confidence. No re-ranking layer needed.
Agents browse your company wiki by exact entity. Returns the paragraph, not the whole document.
Agent needs SKU #5821 with price > $100 and brand = Acme. One query. One result. Done.
Search index as the nerve system. Agents query once, get routed to the right handler without chaining.
| Feature | SearchAPI | Vector DBs | SQL |
|---|---|---|---|
| Structured output | Yes | No | Yes |
| Agent-native filters | Yes | No | Yes, but verbose |
| No hallucination risk | Yes | Possible | Yes |
| Zero-config setup | Yes | No | No |
| Cost per query | $0.0001 | $0.001+ | Varies |
5-minute setup. No credit card. Query 10k documents free.
Or explore the API docs.
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