AI API

UnitPay

UnitPay is a billing infrastructure for AI-native companies that meters usage, enables flexible pricing, and tracks margins.

What is UnitPay?

UnitPay is a billing and monetization infrastructure for AI-native companies, enabling usage-based pricing, margin tracking, and revenue analytics.

UnitPay vs Similar AI Tools

Pricing ModelFree, FreemiumCustom PricingFreeFree
Free Credits
Key Features
  • Usage metering
  • Flexible pricing models (usage, credits, outcomes, hybrid)
  • Margin tracking per customer
  • Enterprise-Grade Runtime with high availability
  • Flexible Identity & Access (SAML, OAuth)
  • Tenant Isolation with isolated runtimes, credentials, and audit trails
  • Emulates Ollama, OpenAI, and llama.cpp APIs
  • Transparent forwarding to NVIDIA's OpenAI-compatible API
  • Optional response caching with configurable TTL and size
  • Transparent credential injection for AI agents
  • AES-256-GCM encrypted secret storage at rest
  • Host and path matching for routing secrets to endpoints
Pros
  • AI-native billing infrastructure
  • Supports multiple pricing models
  • Enterprise-grade security and governance built-in
  • Multi-tenant isolation for SaaS providers
  • Lightweight and easy to deploy via Docker
  • Caches responses to reduce API calls and latency
  • Open-source and self-hosted, giving full control over credentials
  • Easy setup with one-line install or Docker
Cons
  • Limited public pricing transparency
  • Primarily focused on AI companies
  • Pricing is not transparent and requires contacting sales
  • Requires technical expertise to set up and configure workflows
  • Only forwards to NVIDIA's API; no other cloud provider support
  • Requires a valid NVIDIA API key
  • Currently limited to single-user local mode by default; OAuth setup requires additional config
  • Requires self-hosting infrastructure (Docker/PostgreSQL)
Best For
  • AI startups
  • SaaS companies with usage-based billing
  • Enterprises needing a secure, governable integration platform
  • SaaS companies requiring multi-tenant integration for customers
  • Developers integrating NVIDIA LLMs into existing workflows
  • Users of Open WebUI, curl, or SDKs wanting to leverage NVIDIA models
  • Developers building AI agents that need secure API access
  • Teams managing multiple AI agent deployments with varying credential scopes

How to use UnitPay?

  1. 1Integrate UnitPay API to meter usage events.
  2. 2Configure pricing models (usage-based, credits, outcomes, hybrid).
  3. 3Launch pricing without writing billing code.
  4. 4Use dashboards to track margins and revenue.

UnitPay Key Features

  • Usage metering
  • Flexible pricing models (usage, credits, outcomes, hybrid)
  • Margin tracking per customer
  • Granular revenue analytics
  • Customer-facing value dashboards
  • No-code pricing changes

UnitPay Use Cases

  • Monetizing AI products with usage-based pricing
  • Tracking profitability per customer
  • Launching new pricing models quickly

UnitPay Pricing & Free Credits

UnitPay currently operates on a Free, Freemium model.

Free Tier

Free

$0

Start free with core billing features.

Paid Plans

Enterprise

Custom

Full-featured platform with dedicated support.

Free

$0

Start free with core billing features.

Enterprise

Custom

Full-featured platform with dedicated support.

UnitPay Pros & Cons

Pros

  • AI-native billing infrastructure
  • Supports multiple pricing models
  • Easy to change pricing without engineering
  • Granular margin tracking

Cons

  • Limited public pricing transparency
  • Primarily focused on AI companies

What is UnitPay best for?

  • AI startups
  • SaaS companies with usage-based billing
  • Product-led growth teams

UnitPay FAQ

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