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Saas Enrichment — Company Data | Lagic

Built For

Get a 360-degree view of any company for sales, investment, or competitive research.

Curated by Lagic·Verified working

Configure Agent

List of company names or domains to research. Can also provide LinkedIn URLs or stock tickers.

Select which data points to enrich

How to structure the output data

Generate AI-powered insights and competitive analysis

The AI model to use for analysis. Requires corresponding API key.

Your OpenAI API key for GPT models

Your Google AI Studio API key for Gemini models (FREE!)

Your Anthropic API key for Claude models

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

A full company profile including description, employee count, location, and industry.A summary of the company's financial status, such as whether it's public and the number of SEC filings.Recent activity signals, including new job postings and news articles with sentiment analysis.A technology profile detailing detected software, programming languages, and GitHub activity.Quick, scannable insights like whether the company is hiring, has patents, or is active in the news.A list of the source URLs used to gather the data for verification.
404342026-04-05Value...Value...https://...
3832232026-04-05Value...Value...https://...
..................
Exports as:CSVXLSXJSON

Overview

Enrich a list of company names or domains with details like their tech stack, funding history, key people, and recent news mentions to qualify leads or analyze competitors.

Sales, marketing, and investment teams all need deep, reliable company data, but it's scattered across dozens of websites, SEC filings, and news articles. This SaaS Enrichment tool automates the process of building a complete company profile. You provide a list of company names, domains, or even LinkedIn URLs, and it returns a consolidated dossier. ### What You Get Based on the data modules you select, the tool can gather: * **Company Profile:** The basics like description, employee count, headquarters, and industry, plus social media links and website. * **Funding History:** Details on investment rounds, amounts, and investors (where public). * **Key People:** A list of top executives and decision-makers. * **Tech Stack:** The technologies and programming languages a company uses, including data from their public GitHub repositories. * **News Mentions:** Recent news articles and press releases about the company, with an average sentiment score. ### AI-Powered Analysis Optionally, you can enable an AI analysis layer. By providing an API key for a model like GPT-4o, Gemini, or Claude, the tool will generate a summary of the company's competitive landscape, recent signals (like hiring or news), and other quick insights. This turns raw data into a strategic brief, saving hours of manual analysis. This is ideal for B2B sales teams building account plans, venture capitalists performing initial due diligence, or marketing teams creating detailed ideal customer profiles.

Key Capabilities

  • ✓ A full company profile including description, employee count, location, and industry.
  • ✓ A summary of the company's financial status, such as whether it's public and the number of SEC filings.
  • ✓ Recent activity signals, including new job postings and news articles with sentiment analysis.
  • ✓ A technology profile detailing detected software, programming languages, and GitHub activity.
  • ✓ Quick, scannable insights like whether the company is hiring, has patents, or is active in the news.
  • ✓ A list of the source URLs used to gather the data for verification.
  • ✓ Raw counts of data points found, such as the number of jobs, news articles, and patents.
  • ✓ Prioritize Outbound Sales Leads: Enrich a list of inbound leads or target accounts to identify those using a competitor's technology or showing strong hiring signals.
  • ✓ Conduct Initial Investment Due Diligence: Quickly gather foundational data on a startup, including their tech stack, patent filings, and recent news coverage, before committing to a deep dive.
  • ✓ Build Detailed Ideal Customer Profiles (ICPs): Analyze your best customers to find common attributes like employee count, tech stack, and industry, then use that data to find lookalike companies.
  • ✓ Perform Competitive Landscaping: Monitor competitors' hiring trends, news sentiment, and technology choices to inform your own product and marketing strategy.
  • ✓ Prepare for M&A Discovery: Create a preliminary dossier on a potential acquisition target, covering their financials, technology infrastructure, and public signals.
  • ✓ Source Talent More Effectively: Recruiters can understand a company's tech stack and recent growth to have more informed conversations with potential candidates.

Field Dictionary

How To Run This Extractor

1

Paste a list of company names, domains, LinkedIn URLs, or stock tickers into the 'Companies to Research' field.

2

Select the specific 'Enrichment Modules' you need, such as tech stack or funding history.

3

Optionally, enable 'Include AI Analysis' and provide your API key for the AI model of your choice (e.g., GPT-4o, Gemini).

4

Choose your preferred 'Output Format' (detailed, summary, or API-compatible).

5

Run the tool to begin the enrichment process.

6

Download the consolidated company profiles as a JSON file.

Frequently Asked Questions

What skills do I need to use this tool?
You just need a list of company names, domains, or LinkedIn URLs. No coding or technical skills are required.
What formats can I export the data in?
Is it legal to collect this data?
How many companies can I research at once?
Can I use this for client work at my agency?
How is this different from a CRM?
How reliable is the data?
Can I schedule this tool to run automatically?
How fresh is the data?
Do I need my own API key for the AI analysis?
What kind of insights does the AI analysis provide?
What are the different output formats for?