Nimble
Expert-level web search for agents — self-learning retrieval that delivers higher accuracy with fewer tokens.
- Based in
United States
- Category
- web-data
- Source & hosting
- Proprietary · Vendor-hosted
Business overview
Nimble is expert-level web search and data infrastructure for AI agents — search, crawling, structured extraction and research workflows in one API. Instead of handing a model raw pages to parse, it retrieves exactly what a task needs, cutting token cost while raising accuracy, and it renders JavaScript in real time to reach data other tools cannot.
Its Web Search Agents are specialised retrieval experts for a domain — compliance audit, lead generation, market analysis, company research, due diligence, supply-chain risk — and they improve after every run: a proprietary index and memory compound accuracy and trim tool calls as the agent learns your use case.
Every run is governed and auditable through Search Plans that record what was searched, where and why, with zero data retention, PII masking, audit logs and no training on your queries. Nimble is used by more than 1.5 million developers, with customers including Databricks and Alta.
Value proposition
Expert-level web search, crawling and extraction built for agents — it retrieves exactly what a task needs instead of parsing raw pages, so accuracy goes up and token cost goes down. Self-learning agents, a proprietary index and auditable Search Plans come standard.
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