AI Agent Index

Oz vs Adapt (2026)

Side-by-side comparison of Oz vs Adapt: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated July 20, 2026 by The AI Agent Index Editorial Team.

Data sourced from The AI Agent Index

Oz logo

Oz

by Anyreach

Oz by Anyreach is an AI teammate across Slack, Teams, email, voice, and web that returns finished work. Credit-metered from $33/seat/mo billed annually (USD); every send, payment, or delete waits for one-tap approval.

subscriptionB2B
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Adapt logo

Adapt

by Adapt

Universal AI agent for work: ask questions across connected systems, automate workflows, and build internal apps from Slack or web. Free starter with $25 credits, Pro from $50/mo. SOC 2 Type II.

freemiumB2B
Visit Adapt
Oz
Adapt
Pricing model
subscription
freemium
Starting price
$33/mo, billed annually
$50/mo
Pricing transparency
mostly public
public
Contract type
both
monthly
Customer segment
B2B
B2B
Deployment
cloud, web, api, mobile, desktop
web, slack
Setup difficulty
easy
easy
Avg setup time
< 1 hour (start free, install into Slack, Teams, Gmail, or Outlook, then ask Oz in plain language to run the first task)
Under 1 hour
Editorial rating
On Our Radar
On Our Radar
G2 rating
No G2 listing
No G2 listing
MCP
Server
No
GitHub stars
N/A
N/A
Data training
no
no
Human in loop
optional
optional
Security certs
SOC 2 Type II, HIPAA, AIUC-1
SOC 2 Type II

Capabilities

Oz

autonomousworkflow-builderdata-analysisreportingcrm-syncscheduling

Adapt

workflow-builderdata-analysisreportingschedulingcrm-syncautonomousno-code

Pros & Limitations

Editorial assessment

Oz

Pros

  • Oz delivers finished work rather than chat replies: ask it in plain language from Slack, Teams, Gmail, Outlook, a call, or the web, and it returns research briefs, slide decks, spreadsheets, and pipeline updates across your connected tools in a single run. Pricing is outcome-metered rather than token-based, so a credit maps to a unit of work done and costs stay legible.
  • Human control is built into every consequential action: reads run silently, while every send, payment, merge, or delete posts a one-tap Approve or Reject card. Teams can set which lower-risk actions auto-approve, which makes Oz a strong fit for security-conscious teams that want autonomy without handing over unattended write access.
  • Unusually deep integration and security posture for an early-stage product. It offers 3,000+ integrations with named bidirectional connectors like Salesforce, HubSpot, Stripe, GitHub, and Notion, plus an API-first design and a first-party MCP server that external clients such as Claude or Cursor can query. It is backed by an independently audited SOC 2 Type II report, HIPAA, and AIUC-1, and customer content is never used to train foundation models.

Limitations

  • Credit-metered pricing means the $33 Solo seat is a floor, not a ceiling: the 800 included credits are a soft budget and heavy users pay per-credit overage on top of the seat fee.
  • No independent track record yet: Oz is an early-access product from a 2024 company with no third-party reviews on G2, Trustpilot, or Product Hunt, so buyers cannot yet triangulate quality.
  • Several controls are gated or pending: shared memory, SSO, and pipeline access require higher tiers, and GDPR, ISO 27001, and PCI DSS are still in progress on the trust center, not certified.

Adapt

Pros

  • Usage-based pricing with no seat minimums and a genuinely free starter tier eliminates adoption friction: Starter gives every user $25 in free credits plus a $100 Slack bonus and up to $300 for work domain signups, meaning teams can run real workflows at scale before committing to any paid plan
  • Slack-native interaction model means zero new tool adoption required from end users: any team member can tag @Adapt in any existing Slack channel to query data, trigger workflows, or get cross-system analysis without learning a new interface, attending training, or switching context
  • SOC 2 Type II certified with explicit confirmation that user data is never used to train AI models, with OAuth tokens and API keys stored in enterprise-grade encrypted infrastructure, directly addressing the data privacy objections that block AI workflow tool adoption in security-conscious organizations

Limitations

  • Microsoft Teams is not supported: organizations where Slack is not the primary communication platform must use the web app for all interactions, reducing the seamless chat-native experience that is central to Adapt's core value proposition
  • Zero independent reviews on G2, Capterra, or any third-party platform as of Q2 2026: prospective buyers have no external validation beyond vendor-published customer testimonials, making it difficult to assess real-world reliability and support quality before committing
  • Credit-based pricing makes costs difficult to forecast at production scale: teams running complex cross-system workflows may find usage-based billing less predictable than flat-rate alternatives like Zapier (from $19.99/month) or Make (from $9/month) that offer fixed monthly pricing

Frequently asked questions

How does pricing compare between Oz vs Adapt?

Oz uses a subscription model, starting at $33 per month on an annual commitment (month-to-month costs more). Adapt uses a freemium model, starting at $50 per month.

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