Extruct AI
FreemiumAPI-first company research with cited sources for AI agents and GTM teams.
By Tanmay Verma, Founder · Last verified 05 Jul 2026
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Added 7d ago
77/100Safe BetIn short
Extruct AI — API-first company research with cited sources for AI 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, Investors performing diligence on companies and teams with cited reports. Free to start; paid plans from $49/mo.
Is Extruct AI actually worth it?
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Editorial Verdict
Best for
GTM and sales ops teams automating prospect research with AIMarket researchers building targeted company lists from natural languageInvestors performing diligence on companies and teams with cited reportsAI developers integrating company data into agents and custom workflowsGrowth teams enriching CRM data with verified contacts and lookalikes
Not ideal for
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 enrichmentThose requiring real-time data on very small or private companies not in the 10M indexTeams needing email sequencing or built-in sales engagement features
Solid AI-native alternative to Apollo/ZoomInfo for technical teams. Strengths: cited sources, MCP server for code editors, flexible credit model, and a free tier to test. Weaknesses: heavy users pay per credit; non-technical users may find it less intuitive. If you want a flat-rate all-in-one CRM enrichment tool, consider Apollo or ZoomInfo instead.
Skip Extruct AI if Skip Extruct AI if you need unlimited free research or a no-code all-in-one CRM enrichment tool that doesn't require credit tracking.
Compare with: Extruct AI vs GeologicAI, Extruct AI vs Mineral (Alphabet X), Extruct AI vs Klue
Last verified: July 2026
What's new in Extruct AI
Checked 4 days agoAcross the latest 6 updates: 3 feature updates, 1 pricing change and 2 changelog entries.
FeatureBlog·25 days agoNewest
Search Now Returns Up to 2,000 Results
Paid plans increased result cap from 250 to 2,000 across Semantic and Lookalike Search.
ChangelogBlog·29 days ago
Extruct Product Updates - April & May 2026
Shipped MCP server for Claude integration and improved enrichments for speed and depth.
FeatureBlog·Apr 15
9 Open-Source Claude Cowork Skills for Sales Deal Execution
Open-sourced nine Cowork skills for post-meeting workflows like MEDDPICC, account plans, and pipeline review.
PricingBlog·Apr 2
Extruct Product Updates - March 2026
Made Extruct free for all, reduced time to value under 60 seconds, added workflow integrations.
FeatureBlog·Mar 5
How Skills Turned Claude Code into a GTM Operating System
Released Skills playbooks for Claude Code to automate outbound pipeline: list building, enrichment, and email generation.
ChangelogBlog·Mar 1
Extruct Product Updates - February 2026
Improved relevance, lookalike ranking, and company index quality for AI Company Search.
What independent users actually report about Extruct AI
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).
60% positive40% critical
Recurring strengths
- +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.
Recurring frustrations
- −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.
Patterns worth knowing
Interest in natural-language company search is strong, but users want proof of accuracy.
Seen on Product Hunt
Global data coverage is a major concern; users question US-centric limitations.
Seen on Product Hunt
API-first approach praised by developers but seen as a barrier for non-technical users.
Seen on Product Hunt
Learning curve
beginnerProductive in ~5 minutes for basic search; hours for API and MCP integration
Hidden costs people mention
- • 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
77/100
Safe BetHow likely is Extruct AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Semantic search by natural-language query
- Lookalike search by company domain or UUID
- Deep Search with multi-criteria agent-based discovery
- 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)
- Public Data Rooms browsing
- Export and share tables and searches
- Up to 2,000 results per search (Starter/Pro)
- REST API access
- Chrome extension for lookalike search
- Remote MCP server for Claude, Codex, Cursor, VS Code
- Open-source Cowork skills for sales workflows
- Credit-based usage model (1-20 credits per action)
About Extruct AI
FreemiumIntermediateAPI availableWeb · API · Plugin
Extruct AI is an API-first company research platform enabling AI agents, GTM professionals, and developers to find and enrich company data with cited sources. It combines a curated index of 10 million companies with live web search, offering three search modes: Semantic (natural-language queries), Lookalike (find similar companies by domain), and Deep Search (multi-criteria agent-based discovery). The Deep Research feature generates cited reports on companies or people, and AI Tables enable repeatable enrichment and scoring workflows. Extruct integrates via REST API, Chrome extension, and an MCP server for Claude, Codex, Cursor, and VS Code. Recent updates increased result caps to 2,000 per search on paid plans and added open-source Cowork skills for sales workflows. Pricing is credit-based starting from a Free tier (25 credits/month) to Pro ($149/month for 2,000 credits) and custom Team/Enterprise plans. Unlike Apollo or ZoomInfo, Extruct focuses on AI-native, agent-driven research with transparent sources, making it ideal for technical users embedding research into custom tools.
Behind the Verdict
Extruct AI fills a specific niche: it's built for teams that treat company research as a programmable layer, not a manual sidebar. The credit-based pricing (1-20 credits per action) keeps small-scale use affordable but can add up if you're running deep searches or batch enrichment daily. We'd reach for this when we need cited, transparent data—every answer links back to its source, which is rare in the enrichment space. The MCP server is a nice touch for developer-heavy teams that live in code editors; it makes Extract feel like a native agent tool rather than a separate web app. Where it bites is governance: credits reset monthly without rollover, so you either plan usage tightly or overpay. The Free tier's 25 credits/month basically gets you five email lookups or 25 semantic searches—fine for evaluation, not for real work. Compared to Apollo, which bundles data + sequences + CRM in a flat subscription, Extruct is a la carte and API-first. That's a plus if you want to compose your own stack, but a minus if you prefer not to think about credit math. For technical GTM ops, market researchers, and AI developers, it's worth a serious look. For traditional sales teams who want out-of-the-box email sequencing and CRM sync, skip it.
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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.
Sales ops manager at a B2B SaaS company
You need to find 100 mid-market companies in Texas that use Salesforce and have >50 employees for an outbound campaign.
Outcome: Use Extruct's Semantic Search to query 'mid-market companies in Texas using Salesforce with >50 employees' and get a list of 2,000 prospects with cited sources, ready to enrich with AI Tables.
Market researcher at an investment firm
You need a cited report on a competitor's leadership team, funding history, and technology stack before a pitch.
Outcome: Use Deep Research to submit a brief on the target company; receive a structured markdown report with sources for each claim, enabling faster diligence.
AI developer building a custom prospecting agent
You want your Claude Code agent to automatically find and enrich lookalike companies based on an existing client.
Outcome: Connect Extruct's remote MCP server to Claude Code. Your agent can call Lookalike Search and AI Tables on the fly, auto-building prospect lists with emails and phones.
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
Proprietary (Extruct AI search models)
as of 2026-07-05
Limitations
- Credits reset monthly with no rollover.
- Deep Search, email/phone lookups, and AI tables are only available on Pro plan.
- Result caps vary: Free plan returns 25 results per search, while paid plans return up to 2,000.
- The curated index covers 10M companies; live web search may be needed for others.
as of 2026-07-05
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
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/month
Ideal for
Solo explorers or developers testing the API with minimal needs (25 credits/month, 25 results per search).
What this tier adds
Starting tier with 25 monthly credits, no exports, no sharing, and no Deep Search or contact lookups.
Starter
$49/month
Ideal for
Small teams needing regular company research with exports and sharing at 500 credits/month.
What this tier adds
Adds 500 credits, 500 searches, 2,000 results per search, export/sharing of Data Rooms and tables, and API access.
Pro
$149/month
Ideal for
Power users requiring Deep Search, AI Tables, and email/phone lookups for outbound at 2,000 credits/month.
What this tier adds
Adds Deep Search (1,000 matches), AI Tables (2,000 cells), 500 email lookups, and 100 phone lookups; also includes all Starter features.
Team & Enterprise
Custom
Ideal for
Organizations needing multi-seat shared billing, custom credit pools, and dedicated onboarding support.
What this tier adds
Custom credit pool, per-seat pricing, shared workspace, dedicated Slack/email support, and CRM integration guidance.
Integrations
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.
Freemium with a usable free tier (25 credits) ideal for evaluation. Starter ($49/mo) suits small teams needing exports and 500 searches; Pro ($149/mo) adds Deep Search and contact lookups. Cheaper than ZoomInfo ($149+/mo) for similar depth, but Apollo ($49/mo for full access) offers more data per dollar for non-technical teams.
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.
For developers: API key generation and first API call in under 5 minutes. For sales ops: browsing Data Rooms and running Semantic Search is immediate after sign-up. MCP server setup: 10-15 minutes if using Claude/Cursor for the first time.
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.
Migrating in
- →From Apollo or ZoomInfo: Export your company list as CSV, then import into Extruct's AI Tables for enrichment and scoring.
- →From custom spreadsheets: Upload your company list to AI Tables; use Lookalike Search to expand your list by finding similar companies.
Migrating out
- ↗To Apollo or ZoomInfo: Export your enriched lists from Extruct via CSV and import into Apollo's data management.
- ↗To a custom database: Use Extruct's REST API to pull all your data and store it in your data warehouse or CRM.
Resources & Guides
Frequently Asked Questions
Tools that pair well with Extruct AI
Common stack mates teams adopt alongside Extruct AI, with the specific reason each pairing earns its keep.
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