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Credyt

Real-time usage billing, credit wallets and spend control for AI products, with an MCP server

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paidPriced at $1 per active wallet, as stated in the site's own pricing navigation — the meter is the number of customer credit wallets that saw activity, rather than seats, events or revenue share. Payments run through Stripe or a bring-your-own PSP, so card processing fees are separate and paid to your processor. A demo walkthrough can be booked for larger deployments; no separate enterprise figure is published.View full pricing →

About Credyt

Credyt is real-time billing and cost control infrastructure for AI products, built around the problem that inference costs are incurred per request while most billing systems reconcile monthly. It organises itself as an Economic Control Stack in three capabilities: Observe, which shows every dollar of cost and revenue in real time; Control, which enforces limits and stops runaway spend before it lands on your card; and Monetize, which exposes every common pricing model through one API — usage-based metering on any event, prepaid credit wallets with full history, subscriptions, and hybrid combinations of all three. Per-customer cost attribution answers the question most AI companies cannot answer, which is exactly what each individual user costs to serve. Credit wallets are the primitive the pricing is built on, and they are real-time rather than batch-reconciled. Integration is unusually agent-native: there is an MCP server at mcp.credyt.ai so billing can be added from a prompt inside Claude Code, Cursor, Codex, Windsurf or ChatGPT, alongside conventional webhooks, an OpenAPI spec and SDKs. It works with Stripe or a bring-your-own payment service provider. The audiences it names are deliberately broad — solo founders and vibe coders at one end, seed-to-Series-A AI companies and Series B+ scale-ups at the other — with separate surfaces for engineering, finance, operations and product teams who each need a different view of the same usage and margin data.

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Key Features

Real-time credit wallets with full transaction history
Usage-based metering on any event, plus subscriptions and hybrid pricing
Per-customer cost attribution showing what each user costs to serve
Hard spend limits that stop runaway inference cost
MCP server for adding billing from inside a coding agent
Stripe or bring-your-own payment service provider

Credyt Pros & Cons

Pros

  • +Per-active-wallet pricing scales with real usage rather than headcount or revenue
  • +MCP integration means billing can be wired in from a prompt
  • +Cost attribution and revenue live in the same system, so margin is directly visible

⚠️ Cons

  • $1 per active wallet is expensive for products with many low-value users
  • No free tier published
  • Billing infrastructure is a deep dependency to take on early

Tags

billingusage-basedcreditsmcpcost-controlstripe
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