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The most accurate & efficient web search for finance
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 Finance research use cases with Nimble
Or see our developer guide for building financial analysis agents with Nimble
Source target companies and tear sheets
Find every company that matches your criteria, with a cited tear sheet for each.
Run deep due diligence on any company
Research financials, leadership, litigation, and reputation, with a confidence score on every finding.
Monitor every holding for material events
Track leadership changes, deals, lawsuits, and filings across your portfolio, each sourced and explained.
Screen any company for KYC and AML
Check registration, owners, sanctions, PEPs, and adverse media, with a risk rating and sources.
Assess credit and counterparty risk on any company
Get financials, ratings, debt events and distress signals, with a risk call and a source for every finding.
How Nimble discovers deep, trustworthy finance data
How finance 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
