Great web search, for 1000× less than the other guys
Fast, relevant results from across the open web — the same quality you expect from the big search APIs, at a fraction of the cost.
432,000 free queries a month
Ten requests a second on the house — no credit card, no trial clock. Grab a key and start searching.
Orders of magnitude cheaper and faster, at competitive quality
List price per million queries against median search latency, both log-scaled, with each provider's head-to-head Elo on its label. Exa and Brave edge us on quality — we're third of four — and we're three orders of magnitude cheaper.
Ground your agents with up-to-date, factual info from the web
Give your LLMs and agents real, current context from across the web as a single tool call — and pay an order of magnitude less than other search APIs to do it.
curl https://q.searchspace.io/v1/search \
-H "authorization: Bearer $SEARCHSPACE_API_KEY" \
-H "content-type: application/json" \
-d '{
"query": "latest guidance on rate cuts",
"top_k": 5,
"filters": { "crawl_date_after": 1717200000 }
}'{
"results": [
{
"url": "https://www.reuters.com/markets/rate-outlook",
"title": "Central bank signals patience on cuts",
"snippet": "Officials reiterated they want more …",
"score": 0.951,
"crawl_date": "2026-06-11"
}
],
"latency_ms": 38
}Why pay 1000× more for comparable results?
SearchSpace matches the relevance of the big search APIs while running on one efficient engine — so the savings land straight on your bill.
Blended price per 1,000 searches
Illustrative blended pricing. The more you search, the more the gap compounds.
Cheaper doesn't mean worse
The savings come from a leaner engine, not a weaker model. You get the same relevance, filtering and speed.
- Matches what people mean, not just the words they typed
- Relevance on par with the big neural search APIs
- Filter by domain, TLD, category and publish date
- Results come back in well under a tenth of a second
Give your agents the whole web
Spin up a key, point your client at the endpoint, and start grounding on a billion documents in minutes.