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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DocumentationAPI Reference
DocumentationAPI Reference
  • Introduction
    • What is Paid?
    • Who should use Paid?
    • Why AI Billing is Different
    • How Paid Streamlines AI Billing
    • Understanding Products and Signals
  • Getting Started
    • Your First 10 Minutes with Paid: From Signup to First Invoice
    • Developer Guide: Build, Price, and Bill with Paid
    • Integrate Signals and Cost Tracking to Your Codebase
  • Integrations
    • Datadog
  • Concepts & Strategy
    • High-level billing flow overview
    • Subscription vs. usage-based vs. hybrid billing explained
    • Recommended use-cases and examples
    • How actions and outcomes translate to billing events
    • Pricing models and best practices
    • Product lifecycle and archival semantics
  • Additional Resources
    • Platform features
    • Resources
    • Appendices
    • Compliance legal
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On this page
  • AI Product Companies
  • SaaS Companies Adding AI Features
  • AI Agencies and Service Providers
  • Enterprises Using AI Internally
  • Common Use Cases
  • When Paid is the Right Fit
  • Getting Started
Introduction

Who Should Use Paid?

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Why AI Billing is Different

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Built with

Paid is designed for companies where AI does real work—and where billing needs to reflect that value.

AI Product Companies

If you’re building AI-powered products—chatbots, assistants, automation tools, or any software where AI performs tasks—Paid helps you:

  • Track what your AI does for each customer
  • Bill based on actual usage and outcomes
  • Show customers the value they’re getting
  • Maintain healthy margins as usage scales

SaaS Companies Adding AI Features

If you’re enhancing your existing product with AI capabilities, Paid helps you:

  • Monetize new AI features without overhauling your entire billing system
  • Combine traditional seat-based pricing with usage-based AI charges
  • Track AI costs separately to understand margins
  • Experiment with new pricing models

AI Agencies and Service Providers

If you deploy AI solutions for clients, Paid helps you:

  • Bill clients based on the work your AI performs
  • Demonstrate ROI with detailed usage reports
  • Manage multiple client accounts with different pricing
  • Pass through AI costs with appropriate margins

Enterprises Using AI Internally

If you’re building internal AI tools and need to track usage or charge back to departments, Paid helps you:

  • Monitor AI usage across the organization
  • Track costs by team, project, or use case
  • Understand the ROI of your AI investments
  • Allocate costs appropriately

Common Use Cases

  • AI SDRs: Sales development reps that send outreach, qualify leads, and book meetings
  • Customer Support Chatbots: AI that handles customer inquiries and resolves tickets
  • Document Processing: AI that extracts data, summarizes content, or analyzes documents
  • Voice Agents: AI that handles phone calls for support, sales, or scheduling
  • Data Analytics: AI that processes data and generates insights
  • Content Generation: AI that creates marketing copy, reports, or other content
  • Workflow Automation: AI that executes multi-step business processes

When Paid is the Right Fit

Paid works best when:

  • Your AI performs measurable work (not just provides information)
  • You want to charge based on usage, outcomes, or value delivered
  • You need to track AI costs and understand margins
  • You want to show customers what they’re paying for
  • You’re using multiple AI providers and need consolidated cost tracking

Getting Started

Most teams integrate Paid in under 48 hours. Start by:

  1. Creating products that represent your AI offerings
  2. Instrumenting your application to send Signals
  3. Configuring pricing rules
  4. Connecting payment processing

Paid offers a free tier for cost tracking, so you can start monitoring your AI costs immediately while you design your billing model.