Cookbooks & Examples Built with Nimble

Use case: monitor the open web for sellers advertising your products below their Minimum Advertised Price.

Use case: discover influencers by niche, platform, and follower size and build a deduplicated outreach dataset.

Use case: turn an activity and jurisdiction into a cited compliance brief of the regulations and case law that apply.

Use case: map a full retail category into Databricks, mine customer reviews for verbatim complaint themes, verify every hypothesized assortment gap against the retailer's live shelf, and file the survivors as Linear tickets with evidence.

Use case: Reconstruct the guidance each company issued for every fiscal quarter from archived earnings releases, SEC filings, and call transcripts, pair it with what was actually reported, and grades every quarter beat, miss, or inline with a citation behind every number.

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

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.