Cookbooks & Examples Built with Nimble

Use case: Answers software library and API questions by searching current official docs and changelogs.

A research agent reconstructs each company's guidance from archived filings and transcripts, grades it against reported results, and stores every cited claim in a Snowflake ledger.

Three research agents map a retail category into Databricks, mine review complaints for demand evidence, and verify assortment gaps on the live shelf before filing them as Linear tickets.

Use case: name a target company and get back a verdict-led diligence memo, every claim cited and graded by confidence, reviewed by a CrewAI crew, and delivered to the deal team's inbox as a PDF.

Use case: describe an ICP in plain language and get back a structured market map in Supabase, every company enriched with funding, contacts, and buying signals, every field backed by citations and a confidence grade.

Use case: Search review platforms, social channels, and news for any brand or product and surface a scored sentiment report with theme clustering and spike detection.

Use case: Search news, funding announcements, and social channels for any list of companies and generate a scored, flagged briefing dashboard per company.

Use case: a LangGraph ReAct agent takes any US ticker, uses Nimble search to discover public peer companies and Nimble extract to pull current valuation multiples from Finviz for each one, then delivers a relative-valuation verdict and accepts follow-up questions that trigger fresh Nimble calls.

Use case: Pull live vehicle listings from eBay Motors and Carvana, normalize them into a single dataset, and rank each by deal quality.

Use Case: Nimble search scans Reddit, X, LinkedIn, Hacker News, GitHub, and review sites daily for competitor activity, then Claude synthesizes the findings into a Slack digest.

Use case: sweep press, social, and developer communities around a product launch and flag mischaracterizations and competitor responses in real time.

Use case: run live market recon, find a positioning gap, check domain availability across 6 TLDs, and generate a launch-ready startup package with a brand name and opportunity score.

Use case: install Nimble's search, extract, and agent APIs as Unity Catalog table functions in Databricks and pull live web data straight from SQL, enriching Delta tables and powering Genie agents without a separate pipeline.

Use case: Send any question to ChatGPT, Perplexity, and Gemini simultaneously and use Claude to determine whether the models agree.

Use case: enable a LangChain AI agent to find local businesses, visit each website to extract contact details, and score every lead on outreach potential — turning a single query into a ranked, enriched prospect list.

Use case: Collect live housing market data for 100 US cities, use Claude to select the top markets, and surface active listings and deep city reports for each.

Use case: Turn a table of location search queries into a Snowflake table of local businesses enriched with ratings, contact info, and coordinates all from SQL.

Use case: Map your site, pull 30 live Google search rankings, identify competitors, and generate a prioritized SEO action plan with Claude.

Use case: combine live web news with structured match data to deliver pre-match scouting, live tactical reads, and post-match breakdowns for any football game.

Use case: integrate Nimble Search as a LangChain tool to track competitor moves, funding rounds, and product launches across the web, deduplicate results across runs, and post new matches as a Slack digest.

Use case: scan Reddit, X, LinkedIn, blogs, and news for brand mentions and score each one by reach, velocity, sentiment, and risk topic.