What does Context.dev return?
Search returns ranked sources and can request highlights or page Markdown. Page extraction status remains important even when the source appears in the search result list.
Context is worth evaluating when search and page reading are part of the same workflow. Its useful comparison is the cost and failure behavior of obtaining usable evidence, not the number of products available under one account.
Pricing and trial limits
- Search uses one credit per ten results. Highlights add one credit per ten; Markdown adds a credit per result page.
- The free plan lists 1,000 monthly credits without a card. The Developer plan lists $20/month with 10,000 credits and $3 per 1,000 overage credits.
- A ten-result request with Markdown can use up to eleven credits. A 'search credit' is not a fixed price for any arbitrary research job.
These are documented prices, not spend measured by our own run. Check the current pricing source and the exact request settings before comparing a request with a credit or a completed answer.
Integration decisions for a coding agent
- Choose source discovery, query-relevant highlights or whole-page Markdown deliberately. Request only the evidence needed by the next step.
- Keep each result's title, URL and extraction status together. Search success does not establish that every linked page was successfully read.
- Use the documented SDK or server-side endpoint and keep the organization key out of frontend bundles. Set explicit query, result and content budgets before enabling an agent loop.
For an assistant connection rather than an application backend, read our web-search MCP guide. MCP availability does not demonstrate the quality of a particular agent/client integration.
What benchmark coverage tells us
We found Context.dev in NEEDLE and Openbenchmarks' company-news evaluation. The latter currently warns of timing/indexing bias and asks readers not to compare vendor performance until reruns. We did not find a separately verifiable Context-owned general search leaderboard; do not turn that uncertainty into an invented launch benchmark.
The benchmark-source register identifies publishers, scope and known issues. Only Exa, Perplexity and Parallel have our own nine-attempt retrieval reports. Documentation review is not a new performance test.
What to test before committing
- Compare plain search, highlights and Markdown on the same query before paying for every content option.
- Inspect page-level failures separately from the successful search response.
- Log returned credit usage and the selected plan when estimating costs.
- Test Web Search and the dedicated News endpoint separately if monitoring recent company events.
Save enough context to explain a failure: query, mode, result cap, requested location, response status, duration and usage. Exclude keys and private user inputs from public logs. Repeating a fixed request is more informative than quietly changing parameters until it passes.
Context.dev alternatives
- Exa for search plus a separate Contents endpoint
- Tavily for search/extract under a credit model
- Parallel for objective-led sources and excerpts
Choose an alternative because its output, cost or integration contract fits the job better. A broad brand comparison can hide that you switched from a source-retrieval API to a generated-answer product.
Sources and review dates
Documentation review: October 27, 2026. Our own measured retrieval runs: August 23, 2026. External reports retain their publisher and measurement window.
Corrections: email faizank@docsalot.dev with an official source.