Extruct AI
AI-native company research API that returns every answer with a source, for agents and GTM teams.
Extruct delivers genuinely useful, cited company research with a strong API and free tier to test. The credit-based pricing can add up for heavy users, so run the numbers before committing. If you need deep, agent-driven research with sources, this beats classic data providers; if you want a simple flat-rate enrichment tool, Apollo or ZoomInfo may be simpler.
Verified 8d ago · liveness 76/100 · cite: rightaichoice.com/tools/extruct-ai
- GTM and sales ops teams automating prospect research with AI
- Market researchers building targeted company lists from natural language prompts
- Investors performing diligence on companies and teams with cited reports
- AI developers integrating company data into agents and custom workflows
- Users needing a free, unlimited research tool (Free plan capped at 25 credits/month)
- Non-technical users who prefer no-code, all-in-one CRM enrichment
- Those requiring real-time data on very small or private companies not in the 10M index
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Skip Extruct AI if you need unlimited free research, a no-code all-in-one enrichment tool, or real-time data on very small private companies not in the 10M index.
Running out of credits mid-month means you either upgrade or wait for reset—there are no overage charges, but Pro's 2,000 credits may not cover high-volume enrichment.
Extruct's credit-based pricing favors low-volume, high-value research: the free tier (25 credits) is great for testing, and Starter ($49/mo) handles light GTM use. Pro ($149/mo) is pricey but includes Deep Search and contact lookups. Compared to Apollo (which offers per-seat flat pricing), Extruct can be cheaper for occasional deep-dive research but pricier for high-volume enrichment.
In short
Extruct AI — AI-native company research API that returns every answer with a source, for agents and GTM teams. Best for GTM and sales ops teams automating prospect research with AI, Market researchers building targeted company lists from natural language prompts, Investors performing diligence on companies and teams with cited reports. Free to start; paid plans from $49/mo.
What's new in Extruct AI
Checked 8 days agoAcross the latest 4 updates: 2 feature updates, 1 launch and 1 pricing change.
2,000 results per search
Raised per-search result cap to 2,000 for paid plans across Semantic and Lookalike Search.
Extruct Product Updates - April & May 2026
Ships MCP server for Claude integration and enhances enrichment depth and speed.
9 Open-Source Claude Cowork Skills for Sales Deal Execution
Open-sources nine Cowork skills for post-meeting tasks like MEDDPICC and account planning.
Extruct Product Updates - March 2026
Extruct becomes free for all, reduces time-to-value to under 60 seconds, adds workflow integrations.
What people actually say about Extruct AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
17 mentions across 2 sources (Product Hunt, Lemmy) · researched Jul 5, 2026.
- +API-first design ideal for developers embedding research into tools.
- +Semantic search lets you describe needs in natural language.
- +Cited sources provide transparency for every answer returned.
- +Multiple search modes: semantic, lookalike, deep search.
- +Chrome extension and MCP server enable quick integration.
- −Free tier only 25 credits/month, very limited for testing.
- −No native CRM integrations yet, hurts GTM teams.
- −Accuracy for complex or global queries unproven.
- −Email and phone lookups are credit-expensive on Pro plan.
- −API-centric approach may intimidate non-technical users.
- • Email lookups cost 4 credits each on Pro plan
- • Phone lookups cost 20 credits each
- • Heavy usage may require upgrading tier sooner than expected
Viability Score
How well maintained and how widely used is Extruct AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Semantic search by natural-language prompt
- Lookalike search to find similar companies by domain or UUID
- Deep Search with multi-criteria agent-based discovery
- Cited results for every search and report
- Deep Research for cited reports on companies or people
- AI Tables for enrichment and scoring workflows
- Email lookups (Pro plan, 4 credits each)
- Phone lookups (Pro plan, 20 credits each)
- Up to 2,000 results per search (paid plans)
- REST API access
- Chrome extension for lookalike search
- MCP server for Claude
- MCP server for Codex, Cursor, and VS Code
- Open-source Cowork skills for sales workflows
- Credit-based usage model (1-20 credits per action)
About Extruct AI
Extruct AI is a company research platform built API-first, aimed at AI agents, developers, and GTM professionals who need to discover and enrich company data—with every answer backed by a source. It combines a curated index of 10 million companies with live web search, so you can query in plain English, find similar companies, or run multi-criteria agent-driven deep searches. The platform is designed for workflows where you need to automatically build lists, score leads, and feed research into your own tools. Search is at the core: Semantic Search translates natural-language prompts into company lists, Lookalike Search finds companies similar to a domain or UUID, and Deep Search (on Pro) applies multiple criteria to return fewer, higher-fit matches. Beyond search, Deep Research generates cited reports on companies or people, and AI Tables let you run repeatable enrichment and scoring workflows at scale. Recent updates raised paid-plan result caps to 2,000 per search (from 250) and added an MCP server for Claude and open-source Cowork skills for sales workflows. Extruct runs on a credit-based model—each search, table cell, or lookup consumes credits, with plans ranging from a free 25-credit tier to paid plans that unlock exports, sharing, and contact data. It integrates via REST API, Chrome extension, and MCP server for Claude, Codex, Cursor, and VS Code. The free tier gives you enough to test the API and see cited results, while paid plans (Starter $49/mo, Pro $149/mo) add volume and advanced features. Where Extruct differs from Apollo or ZoomInfo is its AI-native, agent-friendly approach: you're not just querying a static database—you're running research that adapts to your criteria and returns sources you can verify. It's a fit for technical teams embedding research into custom workflows rather than teams looking for an all-in-one CRM enrichment suite.
Behind the Verdict
Extruct AI is a company research API that stands out for its AI-native, source-cited approach. Unlike traditional data providers like Apollo or ZoomInfo, Extruct lets you query in plain English and get results with verifiable sources, which is ideal for agents and developers building custom workflows. The core search capabilities—Semantic, Lookalike, and Deep Search—are well-designed, and the recent update raising result caps to 2,000 per search on paid plans makes it more practical for serious research. Deep Research and AI Tables add depth, allowing you to generate cited reports and run repeatable enrichment and scoring workflows. The MCP server for Claude, Codex, Cursor, and VS Code opens up powerful agent integration, and the open-source Cowork skills (MEDDPICC, account plans, org charts) are a nice touch for sales teams. However, the credit-based pricing can be a double-edged sword. While the free tier (25 credits/month) is great for testing, heavy users will find costs escalate quickly—each search, table cell, or lookup consumes credits, and phone lookups cost 20 credits each. If you need high-volume enrichment, flat-rate tools like Apollo may be more predictable. Also, the platform is API-first, so non-technical users might find it less accessible than no-code alternatives. The free tier is limited (25 searches per month), and real-time data on very small or private companies may be spotty, though the live web search helps. Overall, Extruct is a strong fit for technical teams and GTM teams who value cited, agent-friendly research over traditional database queries. It's not a one-stop sales engagement platform, so teams needing email sequencing or built-in outreach should look elsewhere.
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Real-world workflow fit
Concrete scenarios for the personas Extruct AI actually fits — and what changes day-one when you adopt it.
You need to build a targeted prospect list for outbound. You type a natural-language prompt like 'Commercial HVAC contractors in Florida that serve hospitals' into Extruct's Semantic Search, then use Lookalike Search to expand the list from a known good domain. You export the list with verified sources.
Outcome: In under 10 minutes you have a list of 100+ high-fit companies with cited sources, ready to enrich with emails and push into your CRM via the API.
You're building an agent that researches potential investment targets. You connect Extruct via the MCP server to Claude Code, and your agent uses Deep Search and Deep Research to generate cited reports on companies and teams.
Outcome: Your agent can autonomously run multi-criteria research and return markdown reports with sources, all within your existing dev workflow.
You need to enrich a list of 500 companies with firmographic data and scoring. You use AI Tables to upload your own list, set up enrichment and scoring columns, and run the workflow.
Outcome: The table processes 500 companies in one go, using credits per cell, and you get a scored, enriched dataset you can export and share.
Use Cases
- Find HVAC contractors in Florida with specific certifications and project history for sales outreach.
- Enrich a list of prospect companies with email addresses and phone numbers for outbound campaigns.
- Build a lookalike list of similar startups to a target company for investment analysis.
- Generate a cited research report on a competitor's leadership team and recent funding.
- Automate CRM data enrichment by triggering Extruct AI Tables via API on new contacts.
- Search for companies using specific technology stacks and hiring patterns across multiple criteria.
- Use Claude Code with Lookalike API to auto-build enriched prospect lists via natural language (see Feb 2026 guide).
- Run post-meeting workflows with open-source Cowork skills (MEDDPICC, account plans, org charts).
Models Under the Hood
as of 2026-08-21
Limitations
- Extruct AI is a company research API with credit-based usage.
- Free plan provides 25 monthly credits, while paid plans (Starter at $49/month and Pro at $149/month) provide 500 and 2,000 credits respectively.
- Search results are capped at 25 per search on Free, and up to 2,000 per search on paid plans.
- Deep Search, AI Tables, email/phone lookups are only available on Pro plan, with credit costs of 1-20 per action.
as of 2026-08-16
Verification history
We have re-verified Extruct AI 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Extruct AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo users or developers testing the API and seeing cited results, with a 25-credit monthly allowance for a few searches.
What this tier adds
Starting tier: 25 credits/month, 25 results per search, no exports or sharing.
Starter
$49/mo
Ideal for
Small GTM teams needing moderate volume (500 credits) and the ability to export and share results.
What this tier adds
Adds 500 credits, 2,000 results per search, and exports of public Data Rooms.
Pro
$149/mo
Ideal for
Heavy research teams needing Deep Search, AI Tables, and contact lookups (2,000 credits/month).
What this tier adds
Adds Deep Search (1,000 matches), AI Tables (2,000 cells), email (500) and phone (100) lookups.
Team & Enterprise
Custom
Ideal for
Organizations needing shared workspaces, per-seat pricing, and onboarding with CRM integration guidance.
What this tier adds
Custom pricing with shared workspace, per-seat billing, and dedicated support.
Where the pricing makes sense
The company stage and team size where Extruct AI's pricing actually pencils out — and where peers do it cheaper.
Extruct's credit-based pricing favors low-volume, high-value research: the free tier (25 credits) is great for testing, and Starter ($49/mo) handles light GTM use. Pro ($149/mo) is pricey but includes Deep Search and contact lookups. Compared to Apollo (which offers per-seat flat pricing), Extruct can be cheaper for occasional deep-dive research but pricier for high-volume enrichment.
Setup time & first value
How long it actually takes to get something useful out of Extruct AI — broken out by persona, not the marketing-page minute.
Free tier: instant API key, first search in <5 minutes. Starter: upgrade immediately, same-day. Pro: complex setups (Deep Search, AI Tables) take a few hours to configure. MCP server for Claude: literally minutes to set up.
Switching to or from Extruct AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Apollo or ZoomInfo: export your target lists and import them into Extruct AI Tables for enrichment and scoring, but note that CRM sync isn't built-in—use the API for automation.
- →From spreadsheets: upload your company list directly into AI Tables to start enrichment, no code required.
- ↗To Apollo: if you need a flat-rate, all-in-one enrichment with built-in engagement, you can export your enriched data and import it into Apollo.
- ↗To ZoomInfo: for enterprise-scale firmographic data with a dedicated platform, export your Extruct tables and migrate to ZoomInfo, but expect a steeper learning curve.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Extruct AI
Common stack mates teams adopt alongside Extruct AI, with the specific reason each pairing earns its keep.
Persana AI
AI sales prospecting platform with 100+ data sources, intent signals, and automation agents for SMBs and startups.
Common Room
AI buyer intelligence platform unifying enrichment, signals, and AI agents for GTM teams.
Marvin User Research
Centralize customer knowledge, run AI-moderated interviews, and turn research into cited insights.
Featured Head-to-Head Comparisons
Extruct Ai vs Nectar Energy
Extruct AI and Nectar Energy serve entirely different domains — Extruct is a company research API for sales and investment workflows, while Nectar optimizes building energy use. Choose Extruct if you need to find and enrich company data programmatically; choose Nectar if you manage commercial building operations and want automated HVAC/lighting control. Neither is a substitute for the other.
Extruct Ai vs Screenplayiq
These tools serve completely different audiences. If you're in sales or market research needing to discover and enrich company data with cited sources, Extruct AI is a powerful API-first choice that now returns up to 2,000 results and has become free to start. If you're a screenwriter or producer looking for data-driven script marketability analysis and box office predictions, ScreenplayIQ offers affordable tiers with structural feedback and comparative market data. Choose based on your domain — there's no overlap.
Extruct Ai vs Geologicai
Extruct AI and GeologicAI serve completely different domains — one is a company research API for sales and AI workflows, the other is a mining core scanning platform. Choose Extruct if you need to automate prospect research or enrich CRM data with cited sources. Choose GeologicAI if you're in critical minerals mining and need rapid, AI-driven core analysis to accelerate projects. They are not direct competitors.
Alternatives to Extruct AI
View allPersana AI
AI sales prospecting platform with 100+ data sources, intent signals, and automation agents for SMBs and startups.
Common Room
AI buyer intelligence platform unifying enrichment, signals, and AI agents for GTM teams.
Marvin User Research
Centralize customer knowledge, run AI-moderated interviews, and turn research into cited insights.
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