Discover everything your GTM AI needs from the web
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The most accurate & efficient web search for GTM
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, people, and industry news.
Methodology summary
We created a ground truth dataset for 250 company, people, and industry news research questions 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.
Test GTM research use cases with Nimble
See our developer guide for building GTM research agents with Nimble
Find accounts that match your ideal customer profile
Discover companies that fit your criteria across websites, directories, and listings.
Enrich company and contact records
Fill CRM gaps with current company, leadership, and technology data.
Track signals that create sales opportunities
Monitor funding, hiring, leadership changes, and announcements for timely outreach.
Find and enrich the right people
Find matching people with current roles, career histories, and public contact details.
Capture everything you need for meeting prep
Discover recent company news, promotions, initiatives, and more to build context for upcoming meetings.
How Nimble discovers deep, trustworthy GTM data
Get the precise data you asked for
Self-learning research agents optimize search & retrieval for specific tasks.
Access web data others can’t
Nimble doesn’t just retrieve search results, it browses sites to go deeper.
Retrieve data you can trust
Web search governance and confidence scoring to flag weak evidence.
How GTM product teams use 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
