For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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Getting StartedAPI ReferenceRoadmapBlog
  • Getting Started
    • Overview
    • What is Schematic?
    • Concepts
  • Using Schematic
    • Who Uses Schematic
  • Quickstart
    • Quickstart
    • Account Setup
    • Entitling a Feature
    • Tracking Usage
    • Components
    • Identifying Users
    • Setup the SDK
  • Using Feature Flags
    • Overview
    • Flags
    • Features
    • Tracking Feature Usage
    • Company Overrides
    • Feature Types
  • Building Your Catalog
    • Overview
    • Plans
    • Managing Company Plans
    • Configuring the Catalog
    • Add Ons
    • Trials
  • AI Tooling
    • For Developers
  • Setting Up Billing
    • Overview
    • Usage Based Billing Models
    • Seat Based Billing Models
    • Credit burndown
  • Using UI Components
    • Overview
  • Developer Resources
    • Concepts
    • Key Management
    • Environments
    • Entity Relationship Diagram
  • Production Readiness
    • Availability
    • Observability & Support
    • Security
  • Integrations
    • Segment Integration
    • Clerk Integration
    • WorkOS Integration
    • Salesforce Integration
    • Hubspot Integration
  • Playbooks
    • Overview
    • Creating a metered feature
    • Backfills and usage corrections
    • Rolling out beta functionality with Flags
    • Handling customer exceptions and feature trials
    • Automatically provision customers using Stripe
    • Build a slack webhook
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Playbooks

Playbooks

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Creating a metered feature with Schematic

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We have a number of playbooks that cover common pricing models and use cases.

  1. Creating a metered feature
  2. Rolling out beta functionality with Flags
  3. Handling customer exceptions and feature trials
  4. Automatically provision customers using Stripe