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Latest updates to the Forest Admin Pricing page

  1. Check
    yesterday
    Change Detected
    Summary
    The Enterprise plan’s uptime commitment increases from a 99.9% SLA to a 99.99% SLA.
    Difference
    0.0%
    Check dated 2026-11-14T14:06:47.000Z thumbnail image
  2. Check
    8 days ago
    No Change Detected
  3. Check
    15 days ago
    Change Detected
    Summary
    The plan overview now emphasizes a shared core platform with advanced orchestration and security on higher tiers, and the comparison table distinguishes 99.9% uptime targets from an Enterprise SLA. Several capability labels and product areas have also been renamed, added, or removed across the pricing-page feature and navigation content.
    Difference
    1%
    Check dated 2026-10-31T14:33:07.000Z thumbnail image
  4. Check
    42 days ago
    Change Detected
    Summary
    Enterprise pricing is presented as starting at $5,999 per month, with a discount for annual upfront payment. The FAQ replaces a question about trying Forest first with one asking whether users can try it before committing.
    Difference
    0.2%
    Check dated 2026-10-03T15:38:05.000Z thumbnail image
  5. Check
    49 days ago
    Change Detected
    Summary
    The pricing page now bills by write events, adds new monthly write-event tiers (500, 5,000, 20,000, 100,000+), and includes a FAQ explaining what a write event is and what happens if you exceed the limit, while audit-event terms and some SLA details are removed.
    Difference
    0.4%
    Check dated 2026-09-26T16:03:42.000Z thumbnail image
  6. Check
    77 days ago
    Change Detected
    Summary
    Pricing section updated with Sandbox, Starter, Professional, and Enterprise plans, including prices, included users, data sources, audit events, and feature sets. It also outlines usage-based charges and deployment options (self-hosted in your infrastructure).
    Difference
    15%
    Check dated 2026-08-29T19:16:18.000Z thumbnail image
  7. Check
    84 days ago
    Change Detected
    Summary
    Adds explicit governance rules for Forest agents: two-person review, per-jurisdiction scoping, no exceptions for robots, and a model where AI agents operate with the same role-based permissions and approval gates as human reviewers. Removes prior wording that audit logs and decision traces stay in the customer environment or that the MCP server exposes all data and traces.
    Difference
    0.2%
    Check dated 2026-08-22T22:17:25.000Z thumbnail image

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