Exa alternative
Agent search without a neural index to maintain
Exa is a semantic index. Gyaansetu is a search API that reads the pages it finds and returns the passages that answer your Query, with a score for each. If your agents ask research questions rather than hunt for similar documents, it is the cheaper shape.
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What it costs
Competitor list prices change; check their site before you decide.
| Typical Exa paid tier | Gyaansetu | |
|---|---|---|
| Free allowance | Trial credits | 1,000 Credits every month, refills on the 1st |
| Entry price | Monthly subscription | $10 one-time for 5,000 Credits |
| Do Credits expire? | With the plan period | Never |
| Card to start | Usually required | Not required |
| Index to maintain | Their neural index | None — searches the live web |
What is different
Passages, not embeddings
An advanced Search loads the candidate pages, splits them into passages, and reranks them against your Query. You get the paragraphs that answer it, each with a score from 0 to 1 — no index to build or keep fresh.
Nothing to maintain
There is no crawling pipeline, no vector store and no reindexing job on your side. A Query is answered from the live web, cached for an hour.
MCP built in
The same two tools are exposed at /mcp, so Claude Code, Cursor and any MCP client can use it without an SDK.
Failures cost nothing
A Search that finds nothing, a URL that will not load, or an error on our side costs no Credits.
The call
One request, JSON back: titles, URLs, scored passages, and the time it took.
curl https://web-search.gyaansetu.com/search \
-H "Authorization: Bearer $GYAANSETU_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query":"what changed in the EU AI Act this year","search_depth":"advanced","max_results":5}'Using MCP instead? See the Claude Code and Cursor guide.
Questions people actually ask
Try it before you decide
1,000 Credits a month, no card. Sign in with Google, make an API Key, and point your client at https://web-search.gyaansetu.com.
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