extruct-api

Access the Extruct API for company discovery and data enrichment.

3|1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/extruct-ai/skills --skill extruct-api
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: extruct-api
Source: https://github.com/extruct-ai/skills/tree/main/skills/extruct-api
Command: npx skills add https://github.com/extruct-ai/skills --skill extruct-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines company discovery, data enrichment, and workflow management by providing structured access to the Extruct API, eliminating the need for complex manual API calls.

Core Features & Use Cases

  • Company Discovery: Perform semantic, lookalike, and Deep Searches to find companies based on various criteria.
  • Data Enrichment & Management: Create, inspect, update, and run Extruct tables for companies and people, adding custom columns for research and scoring.
  • Use Case: You need to build a target account list of AI procurement startups in the US founded after 2018. Use this Skill to perform a semantic search with filters, then create a company table to enrich these accounts with funding data and key decision-makers.

Quick Start

Use the extruct-api skill to search for AI procurement startups.

Frequently Asked Questions about extruct-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover companies using semantic search and data enrichment?

Company discovery uses semantic, lookalike, and Deep Search queries to find companies by specific criteria, then enriches results with custom columns for research and scoring within managed company tables.

What's the best way to build a target account list with funding data and decision-makers?

Building a target account list involves performing a filtered semantic search, creating a company table, and running data enrichment to add funding details and key people contacts for scoring.

Can I automate lead generation workflows without manual API calls?

Lead generation workflow automation is handled via a bundled CLI that provides structured API access for deterministic task execution, eliminating manual API setup and ensuring robust error handling.

Does this company discovery tool work for lookalike searches and custom scoring?

Lookalike searches are supported for finding similar companies, and custom scoring is enabled by adding custom columns to company and people tables within the Extruct data enrichment environment.

How do I manage and update people tables for lead generation?

Managing people tables requires creating and inspecting Extruct tables, then updating them with custom enrichment columns to track and score key decision-makers for lead generation campaigns.

Why does my company data enrichment return incomplete results?

Incomplete data enrichment results may stem from broad search criteria or API query limits; refining semantic search filters and verifying table column configurations ensures more accurate company discovery outputs.