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← Back to Lutra AI Overview

Lutra AI Pricing & Plans 2026

Complete pricing guide for Lutra AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

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Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Lutra AI is worth it →

🆓Free Tier Available
💎3 Paid Plans
⚡No Setup Fees

Choose Your Plan

Free

$0/month

mo

  • ✓Access to Lutra's productivity agent
  • ✓Connected-app actions such as Slack, Google, Airtable, GitHub, and Outlook actions listed as 0-credit actions
  • ✓Credit-based usage for web search, website retrieval, people data, company data, and AI-heavy processing
Start Free Trial →
Most Popular

Professional

$20/month

mo

  • ✓Flat monthly subscription for platform access and core features
  • ✓Monthly credit allowance
  • ✓Discounted add-on credits
  • ✓Reusable Playbooks that can be saved, scheduled, and shared
Start Free Trial →

Custom

Contact sales for quote

mo

  • ✓Custom usage and credit arrangements
  • ✓Discounted credits on demand
  • ✓Business workflow automation across connected apps and custom integrations
  • ✓Security review support for larger deployments
Start Free Trial →

Pricing sourced from Lutra AI · Last verified March 2026

Feature Comparison

FeaturesFreeProfessionalCustom
Access to Lutra's productivity agent✓✓✓
Connected-app actions such as Slack, Google, Airtable, GitHub, and Outlook actions listed as 0-credit actions✓✓✓
Credit-based usage for web search, website retrieval, people data, company data, and AI-heavy processing✓✓✓
Flat monthly subscription for platform access and core features—✓✓
Monthly credit allowance—✓✓
Discounted add-on credits—✓✓
Reusable Playbooks that can be saved, scheduled, and shared—✓✓
Custom usage and credit arrangements——✓
Discounted credits on demand——✓
Business workflow automation across connected apps and custom integrations——✓
Security review support for larger deployments——✓

Is Lutra AI Worth It?

✅ Why Choose Lutra AI

  • • Executes actual code for tasks rather than only producing chat responses, which helps make recurring automations more consistent and inspectable.
  • • Supports a broad set of named work apps, including Google Docs, Sheets, Gmail, Calendar, Outlook, OneDrive, Slack, GitHub, HubSpot, Airtable, LinkedIn, and CRMs.
  • • Lutra's MCP page describes it as an MCP-compatible client and says users can connect any MCP-compatible service or bring their own MCP server.
  • • Connected-app actions such as reading or writing data in Slack, Google, Airtable, GitHub, and Outlook are listed as 0-credit actions.
  • • Reusable Playbooks can be saved, scheduled, and shared, giving teams a way to standardize repeated processes instead of re-prompting from scratch.
  • • The website states that Lutra is SOC 2 compliant and uses OAuth integration, with visibility into actions and code for security-sensitive automations.

⚠️ Consider This

  • • Custom pricing still requires contacting Lutra, which makes enterprise budget comparison harder before sales review.
  • • The credit model adds complexity because actions such as web search, website retrieval, person profiles, company profiles, and AI processing can consume different amounts.
  • • AI function credit usage can vary based on text size, document length, and complexity, so large PDF or spreadsheet tasks may be less predictable.
  • • Lutra’s public website emphasizes many common business apps, but it does not claim the thousands of prebuilt connectors offered by long-established automation platforms.
  • • Teams that need full visual workflow control, self-hosting, or deterministic node-by-node automation may prefer a platform such as n8n or Make.

What Users Say About Lutra AI

👍 What Users Love

  • ✓Executes actual code for tasks rather than only producing chat responses, which helps make recurring automations more consistent and inspectable.
  • ✓Supports a broad set of named work apps, including Google Docs, Sheets, Gmail, Calendar, Outlook, OneDrive, Slack, GitHub, HubSpot, Airtable, LinkedIn, and CRMs.
  • ✓Lutra's MCP page describes it as an MCP-compatible client and says users can connect any MCP-compatible service or bring their own MCP server.
  • ✓Connected-app actions such as reading or writing data in Slack, Google, Airtable, GitHub, and Outlook are listed as 0-credit actions.
  • ✓Reusable Playbooks can be saved, scheduled, and shared, giving teams a way to standardize repeated processes instead of re-prompting from scratch.
  • ✓The website states that Lutra is SOC 2 compliant and uses OAuth integration, with visibility into actions and code for security-sensitive automations.

👎 Common Concerns

  • ⚠Custom pricing still requires contacting Lutra, which makes enterprise budget comparison harder before sales review.
  • ⚠The credit model adds complexity because actions such as web search, website retrieval, person profiles, company profiles, and AI processing can consume different amounts.
  • ⚠AI function credit usage can vary based on text size, document length, and complexity, so large PDF or spreadsheet tasks may be less predictable.
  • ⚠Lutra’s public website emphasizes many common business apps, but it does not claim the thousands of prebuilt connectors offered by long-established automation platforms.
  • ⚠Teams that need full visual workflow control, self-hosting, or deterministic node-by-node automation may prefer a platform such as n8n or Make.

Pricing FAQ

What does Lutra AI actually do?

Lutra AI is a productivity agent for automating work across multiple apps. Its website says it specializes in data enrichment, research, email management, PDF extraction, reporting, and workflow automation. A key distinction is that Lutra writes actual code to complete tasks rather than only returning a conversational answer. That makes it useful when the desired output is a spreadsheet update, CRM enrichment, email summary, or repeatable workflow.

Which apps and systems does Lutra integrate with?

Lutra lists integrations with Google Workspace tools including Docs, Sheets, Gmail, and Calendar, plus Microsoft Outlook and OneDrive. It also names Slack, GitHub, HubSpot, Airtable, LinkedIn, CRMs, spreadsheets, and documents as supported workflow targets. For custom work, the site says Lutra can connect MCP-compatible services and also supports HTTP/REST APIs, OpenAPI, databases such as Supabase, and more. This makes Lutra more flexible than a single-app assistant, though the website does not publish a fixed total connector count.

How does Lutra’s credit system work?

As reviewed on June 22, 2026, Lutra uses credits for AI-intensive and external data actions. The help content lists 1 credit to get a website, 3 credits to search the web, 3 credits to get a person profile, and 3 credits to get a company profile. In-app actions such as reading or writing data in connected tools like Slack, Google, Airtable, GitHub, and Outlook are described as 0-credit actions. A sample workflow that checks a person profile, searches company news, retrieves 3 articles, summarizes them, and emails a summary is estimated at about 12 credits.

Is Lutra AI suitable for non-technical teams?

Yes, the website is clearly aimed at business users in sales, finance, marketing, operations, and similar teams. Users describe tasks in plain language, and Lutra turns those requests into automations that can run across connected tools. The product also includes Playbooks, which are reusable workflows that can be saved, scheduled, and shared. Non-technical users still need to understand what data sources they are connecting and how credits are consumed, especially for web research and AI-heavy tasks.

How secure is Lutra AI for business workflows?

Lutra’s website states that security is a top priority and that the platform uses OAuth integration for connected accounts. It also says Lutra is SOC 2 compliant and that users have visibility into actions and code. For enterprise use, this is important because automations may touch email, documents, CRM records, and operational data. Buyers should still review Lutra’s SOC 2 documentation, data retention details, and permission model before connecting sensitive systems.

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