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.

• Atomic check + reserve
• Race-safe credit balances
• Agent and workflow budgets
• Pre-execution access checks
• Post-execution reconciliation
• Accurate revenue events

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

Metrifox helps AI companies manage who can access what, how much they can use, when to stop them, when to charge them, and when usage should become an upgrade or expansion opportunity.

Define plans, credits, usage limits, add-ons, trials, and enterprise rules in one place, then enforce them inside your product in real time.

The Problem

Billing is Too Late for AI Usage Control

In AI products, one customer action can trigger a cascade of cost. By the time billing sees the usage, the tokens are gone, the workflow has executed, and the customer may have already exceeded their limit.

Without Runtime Enforcement

100 credits. 500 spent.

Remaining credits: 100

With Metrifox

Atomic Check + Reserve, Race-Safe by Design

Metrifox validates entitlement and reserves usage in a single atomic operation. Concurrent requests, retries, background jobs, and parallel agents can no longer spend the same balance twice.

What Metrifox Enforces

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.

Credits

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

• 1 credit / basic AI gen
• 5 credits / premium model
• 20 credits / doc analysis
• 100 credits / agent run

Usage Limits

Define and enforce limits before usage happens.

• 500 generations / mo
• 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.

• Max tokens / request
• Max tokens / agent run
• Max tool calls
• Max cost / action

Contract Entitlements

Enterprise agreements become runtime configurations, not engineering tickets.

• Custom limits
• Negotiated overrides
• Regional rules
• Account caps

The Runtime Loop

Metrifox sits between customer action and product execution. Every expensive or monetized action follows the same runtime loop, not after-the-fact reporting, not manual reconciliation, not hardcoded plan checks.

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

Built for AI Agents

Stop agents from quietly becoming margin leaks. Metrifox gives you the runtime layer to define and enforce agent budgets across every meter that matters.

Example Agent Policy

• agent_access: enabled
• agent_runs: 1,000 / month
• max_steps_per_run: 20
• max_tokens_per_run: 50,000
• max_tool_calls_per_run: 15
• overages: allowed
• premium_models: enabled

Implementation Patterns

Every entitlement check reduces to one of four calls. Wire them in once and cover every product action you'll ever monetize, from feature access to long-running agent workflows.

01 · Check Access

Use when the product needs to know whether a customer can use a feature.

02 · Check and Record

Use when the action consumes usage and must be enforced atomically.

03 · Record Usage

Use when usage is measured after an external or asynchronous event.

04 · Adjust Usage

Use when estimated usage and actual usage differ.

What Changes with Metrifox

Move plan logic out of scattered code, spreadsheets, and contracts. Runtime enforcement puts pricing, access, usage, and revenue events under one roof — so every team works from the same source of truth.

Designed for Every Revenue-Facing Team

Runtime enforcement isn't only an engineering problem. Different daily wins across product, engineering, finance, growth, and customers.

FAQ

01. 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.

02. What is Runtime Consumption Control?

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

03. Why is Billing Too Late for AI Usage Enforcement?

Billing happens after usage has already occurred. In AI products, the cost is incurred during execution.

04. How Does Metrifox Prevent Customers from Overspending Credits?

Metrifox supports atomic usage enforcement, where entitlement checks and usage recording happen together.

05. What is a Race Condition in Usage Enforcement?

A race condition happens when multiple simultaneous requests check the same usage balance before any of them records consumption.

06. Why Do AI Agents Need Runtime Usage Enforcement?

AI agents can run multiple steps, call tools, retry tasks, use multiple models, and execute workflows in parallel.

07. What Can Metrifox Enforce?

Metrifox can enforce feature access, credits, quotas, usage limits, AI token budgets, workflow limits, and more.

08. Is Metrifox Only for AI Products?

No. Metrifox is useful for various SaaS businesses needing to enforce product access and usage limits.

09. How is This Different from Metering?

Metering records what happened. Runtime usage enforcement decides whether usage should be allowed before it happens.

10. How is This Different from Feature Flags?

Feature flags control rollout and experiments. Entitlements reflect what a customer purchased and what they are allowed to use.

11. How Does This Connect to Billing?

Metrifox creates accurate usage and revenue events from product activity.