AI Agent Index

Adapt vs Oz (2026)

Side-by-side comparison of Adapt vs Oz: pricing, capabilities, integrations, deployment complexity, and ratings. Built from The AI Agent Index's verified listing data. Adapt last verified October 6, 2026. Oz last verified July 20, 2026.

Data sourced from The AI Agent Index

Adapt logo

Adapt

by Adapt

The company agent platform: teams build agents on shared company knowledge and tools, used in Slack, web, email or text. Open source from January 4, 2027; Managed from $8/user/mo.

subscriptionAll sizes
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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.

subscriptionBusiness
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Adapt
Oz
Pricing model
subscription
subscription
Starting price
$8/mo
$33/mo, billed annually
Pricing transparency
mostly public
mostly public
Contract type
monthly
both
Customer segment
All sizes
Business
Deployment
web, slack, browser-extension, api, on-premise
cloud, web, api, mobile, desktop
Setup difficulty
easy
easy
Avg setup time
About 5 minutes per the docs quickstart, once access is granted through a demo
< 1 hour (start free, install into Slack, Teams, Gmail, or Outlook, then ask Oz in plain language to run the first task)
Editorial rating
4.0 / 5
On Our Radar
G2 rating
5/5 (3 reviews)
No G2 listing
MCP
Server
Server
GitHub stars
N/A
N/A
Data training
Not Trained
Not Trained
Human in loop
optional
optional
Security certs
SOC 2 Type II, GDPR, CCPA
SOC 2 Type II, HIPAA, AIUC-1

Capabilities

Adapt

workflow-builderdata-analysisreportingschedulingcrm-syncautonomousno-code

Oz

autonomousworkflow-builderdata-analysisreportingcrm-syncscheduling

Pros & Limitations

Editorial assessment

Adapt

Pros

  • ✓Works where teams already are: Slack (including a Slack app under the customer's own name and icon), the web app, a Chrome extension that can take browser actions, email, and iMessage or RCS texting.
  • ✓A hosted MCP server (beta) with OAuth sign-in lets Claude Code, Codex, Cursor, VS Code and other MCP clients run an Adapt agent with full company context, and models can run on the customer's own keys at no markup.
  • ✓SOC 2 Type II certified, with a stated commitment that customer data is never used to train AI models, an optional zero data retention mode on Managed, and natural-language policies that can require approval before named actions.

Limitations

  • –Microsoft Teams is not listed among Adapt's surfaces or integrations, so organizations that do not use Slack rely on the web app, browser extension, email or text messaging.
  • –Managed pricing combines a per-user fee with metered sandbox compute, storage, memory and gateway model usage, which is harder to forecast than a flat subscription, and there is no free hosted tier.
  • –The open-source edition is waitlist-only until its January 4, 2027 launch rather than a public repository today, and independent reviews are limited to a small number on G2.

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.

Frequently asked questions

How does pricing compare between Adapt vs Oz?

Adapt uses a subscription model, starting at $8 per month. Oz uses a subscription model, starting at $33 per month on an annual commitment (month-to-month costs more).

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