Paid provides results-based billing infrastructure that lets AI agent developers charge customers based on the value an agent actually delivers, rather than fixed credits or seat-based pricing. It’s built for companies building and monetizing AI agents who find that traditional SaaS billing models don’t map well to outcome-driven agent work. The company frames its mission around solving what it calls the “AI monetization problem” — the difficulty of pricing AI products whose value varies significantly per use. Paid raised $33M in pre-Series A funding to build out this billing infrastructure layer.
Paid
Results-based billing infrastructure for AI agents.
Compliance
SOC 2
Key Features
- Results-based billing — Enables charging based on outcomes or value delivered rather than flat fees or usage credits.
- Agent monetization infrastructure — Purpose-built billing tooling specifically for AI agent products, distinct from general payments infrastructure.
- Usage-based architecture — Infrastructure designed to scale billing complexity alongside agent usage.
- API-first integration — Built to plug into existing agent products via API.
Use Cases
- For AI agent developers — A company selling an AI agent product integrates Paid to bill customers based on outcomes the agent delivers rather than flat subscription tiers.
- For ERP and enterprise software vendors — A vendor embedding agentic features into its product uses Paid to monetize those features based on measurable value.
Pricing MODELS
Usage-based
Pricing Summary
Usage-based pricing built around results-based billing for customers' own products; specific rate card not publicly listed.
Company Size Fit
Enterprise Mid-market SMB
Technical Snapshot
API Available
Yes
LLM Provider
N/A
Open Source
No
Deployment Options
Cloud Saas