AI Usage Enforcement for Modern Products

Stop AI usage before it becomes margin loss. Metrifox gives AI and usage-based products a runtime entitlement layer to check access, enforce credits and limits, reserve usage before expensive work runs, and reconcile actual consumption after execution — so every prompt, agent run, and API call is allowed, metered, and monetized correctly before billing ever sees it.

Control Access, Usage, Credits, and Limits Before AI Costs Become Revenue Leaks.

Live Runtime Consumption

Example Policy

• Credits pool: 99,886 / 100,000
• Allow: 3
• Throttle: 0
• Block: 0
• Revenue events streamed: 3 billed · 0 prevented

The Runtime Loop

Metrifox sits between customer action and product execution. Every expensive or monetized action follows the same runtime loop:

1. Customer attempts action
2. Check access
3. Reserve usage or credits
4. Run workflow
5. Measure actual consumption
6. Adjust final usage
7. Send accurate revenue event

Control Every Product Action That Creates Cost or Revenue.

Every action that spends credits, tokens, quota, or budget is a place where revenue can leak. Metrifox turns each one into a decision surface — enforced consistently, in real time.

What Metrifox Enforces

• Credits: Prepaid or recurring credits across prompts, workflows, agents, API calls, and outputs.

  • 1 credit / basic AI generation
  • 5 credits / premium model
  • 20 credits / document analysis
  • 100 credits / agent run

• Usage Limits: Define and enforce limits before usage occurs.

  • 500 generations / month
  • 1M API calls / period
  • 2M tokens included
  • 5 concurrent agents

• Feature Access: Control which customers can use specific product capabilities.

  • Premium models
  • API access
  • Workflow automation
  • Custom agents

• Overage Rules: Decide what happens after included usage is exhausted.

  • Block usage
  • Allow overage billing
  • Prompt upgrade
  • Notify admins

• AI Budgets: Set runtime budgets for expensive AI activity.

FAQ

What is AI usage enforcement?
AI usage enforcement is the process of checking access, enforcing limits, reserving credits, recording usage, and reconciling actual consumption before or during AI product execution.

What is runtime consumption control?
Runtime consumption control means enforcing usage, credits, limits, and entitlements while the customer is actively using the product.

Why is billing too late for AI usage enforcement?
Billing happens after usage has already occurred, which may result in exceeding limits before costs are accounted.

What can Metrifox enforce?
Metrifox can enforce feature access, credits, quotas, usage limits, AI token budgets, workflow limits, API calls, model access, overages, and contract-specific monetization rules.

Modern Monetization Starts Before Billing

Metrifox is the runtime control layer to manage AI, usage-based pricing, credits, limits, overages, or outcome-based monetization.