fire-enrich — Agent Tool by firecrawl

by firecrawl · Agent Tool · ★ 1.2k

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About fire-enrich

Fire Enrich - AI-Powered Data Enrichment Tool Turn a simple list of emails into a rich dataset with company profiles, funding data, tech stacks, and more. Powered by Firecrawl and a multi-agent AI system. Technologies Firecrawl: Web scraping and content aggregation OpenAI: Intelligent data extraction and synthesis Next.js 15: Modern React framework with App Router Setup Required API Keys Quick Start Clone this repository Create a file with your API keys: FIRECRAWLAPIKEY=yourfirecrawlkey OPENAIAPIKEY=your

Quick Facts

Stars1,244
Forks313
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score69.657511827415/100
Open Issues17
Last Updated2025-10-08
Created2025-06-06
Platformsnode
Est. Tokens~36k

Compatible Skills

These tools work well together with fire-enrich for enhanced workflows:

  • OpenMetadata — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • agent-kit — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is fire-enrich?

fire-enrich is 🔥 AI-powered data enrichment tool that transforms emails into rich datasets with company profiles, funding data, tech stacks, and more using Firecrawl and multi-agent AI. It is categorized as a Agent Tool with 1.2k GitHub stars.

What programming language is fire-enrich written in?

fire-enrich is primarily written in TypeScript.

How do I install or use fire-enrich?

You can find installation instructions and usage details in the fire-enrich GitHub repository at github.com/firecrawl/fire-enrich. The project has 1.2k stars and 313 forks, indicating an active community.

What license does fire-enrich use?

fire-enrich is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to fire-enrich?

The top alternatives to fire-enrich on Agent Skills Hub include agent-skills, excalidraw-diagram-skill, raptor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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