Discover everything your coding agent needs from the web
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The most accurate & efficient web search for coding agents
What this measures
This benchmark evaluates Opus 5.5’s accuracy and total cost (web search fees + token consumption) to answer complex questions about companies, litigation, financials, products, and industry news.
Methodology summary
We created a ground truth dataset for 250 questions that require company research by running Fable 5.1 with unlimited resources and manual verification. We then ran Opus 5.5 on high effort six times, each with a different web search provider, and compared the results against ground truth.
Try out coding agent use cases with Nimble
Or see our developer docs for giving your coding agents web search with Nimble
Pull current docs for any library or API
Get the latest setup steps, API signatures, and gotchas from official docs, with the version and a link for each.
Debug errors with fixes from across the web
Find matching GitHub issues, Stack Overflow answers, and release notes, with the status and fix for each.
Plan dependency upgrades before you bump
Collect breaking changes, removals, and migration steps from upgrade guides and release notes, each linked.
Check any package for security advisories
Look up CVEs, GitHub advisories, and fixed versions, with an upgrade urgency rating and sources.
Compare libraries before you build
Weigh adoption, maintenance, and trade-offs across options, with a source for every claim.
How Nimble discovers deep, trustworthy developer data
How dev teams integrate Nimble
Embed research into your agent workflows
Via MCP, API or connectors
Ad hoc research through your personal AI
Like Codex, Claude Code, or Cursor
Build large-scale web datasets
Stream structured data into your datastore
