Oz vs Runbear (2026)

Oz

by Anyreach

Runbear

by Runbear, Inc.

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.

Pros

• ✓Works in both MCP directions, acting as a client from Slack and exposing its own hosted MCP server for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf and Zed.
• ✓Credit-based pricing with no per-seat charge, so cost tracks usage rather than headcount, and both published tiers list their exact credit allowance.
• ✓Per-user authorization on shared agents plus a SIEM-exportable audit log, and the vendor states plainly that customer data is not used for model training.

Limitations

• ⚠The MCP server is in early access with an expanding tool set, and the vendor states some agent settings remain dashboard-only.
• ⚠The vendor publishes two different integration counts, 2,500+ on its integrations page and 2,000+ in its llms.txt and its own submission, and we could not establish which is current.
• ⚠Independent evidence is thin at one G2 review and seven Product Hunt reviews, with no Capterra or Trustpilot presence, and the SOC 2 Type II report is gated behind a trust center access request.