Credyt

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AI monetization & billing insights

Guides, architecture deep-dives, and platform comparisons for AI founders and engineers building monetization infrastructure.

PSP integration patterns for AI billing systems

Five PSP integration patterns shape how AI billing platforms fit with existing payment setups. Compare trade-offs and pick the pattern that fits your stack.

Engineering

What is metered billing?

Metered billing charges customers for measured usage, not flat fees. See how metering works, five pricing models, and which platforms fit your product.

Usage-based billing guides

How to connect a PSP to your AI billing system

Connect your PSP to an AI billing system via a push model: your PSP processes top-ups, your backend creates a balance adjustment. See the 5 steps and pitfalls.

Engineering

Credyt vs Lago

Lago is open-source usage billing with paid premium features; Credyt is real-time wallet billing with a portal included. Build vs buy, compared.

Billing platform comparisons

Credyt vs Stigg

Stigg controls access and monetization across your billing system; Credyt adds margin observability and ships with Claude Code and Lovable. Compare fit.

Billing platform comparisons

How to implement consumption based pricing

Consumption based pricing requires more than code. Covers billing architecture trade-offs, the observability step most teams skip, and how to launch or migrate.

Usage-based billing guides

What is usage-based billing?

Usage-based billing charges by actual consumption, not flat fees. How it works, the five pricing models, and why AI products need a different approach.

Usage-based billing guides

Stripe Metered Billing: 4 Problems for AI (and Fixes)

Stripe metered billing leaking revenue on AI usage? See the 4 fraud and leakage gaps, plus practical fixes from Radar to prepaid wallets. Learn how.

Usage-based billing guides

Stripe Usage-Based Billing: How It Works + Code [2026]

Confused by Stripe usage-based billing? See how meter events, webhooks, and the object chain work in code, plus where it breaks for AI products. Read now.

Usage-based billing guides

Rapid pricing iteration: why early-stage products have pricing advantages (and when they fade)

Early-stage founders see a small customer base as a limitation. For pricing, fewer customers is an advantage that gets harder to keep as you grow.

AI monetization insights

Why AI companies need real-time economic control

AI products incur costs in real time, but most billing only records what happened. Why economic control and billing are separate problems.

AI monetization insights

On MPP, wallets, and what agents actually need

Stripe and Tempo's Machine Payments Protocol is deliberately narrow. What it doesn't solve: wallet management, balance tracking, and margin observability.

AI monetization insights

How AI companies adopt real-time billing without replacing their stack

Most companies evolve toward real-time billing rather than replace it. Shadow Mode, Hybrid Mode, and Full Wallet Control: three stages with no migration risk.

AI monetization insights

Clay just rewired its pricing. Here's what it means.

Clay overhauled its pricing this week, cutting data costs 50-90% and splitting enrichment from platform work with a two-meter system. The full breakdown.

AI monetization insights

Vibe coders can build apps in hours but billing takes them months

AI coding tools created builders who ship apps without engineering backgrounds, then hit a wall the moment they try to charge for what they built.

AI monetization insights

Don't let monetization slow you down.

Free to start. Live in hours. No engineering team required.