driptab/Docs

Driptab

Usage-based billing on a single Cloudflare stack. Record events, generate invoices, collect payments — without running a database.


What Driptab does

Driptab is a developer-first billing platform. Your backend reports usage events (emails sent, API calls made, GB stored). At the end of each billing period, Driptab aggregates those events into line items, generates an invoice, and fires a webhook. You decide how to collect payment.

Driptab also handles flat-fee billing: domain registration, VPS instances, and any other fixed-price product. The same platform handles both models.


Concepts

Billing model Plans, charges, metrics, catalog, add-ons
Subscriptions Subscription lifecycle, statuses, billing periods
Invoices Invoice lifecycle, timing models, payment status
Events and metering Usage event ingestion, aggregation, Durable Object architecture
Audit trail billing_events, audit_logs, actor tracking
Webhooks Event notifications, HMAC signing, dunning pattern
driptab.yaml GitOps sync, driptab.yaml format, dtab sync

Guides

Getting started Install CLI, create first plan, subscribe a customer, ingest usage
Domain hosting (HostCo) TLD catalog, domain register/renew plans, transfer add-ons
SaaS metering (EmailFS) Billable metrics, usage-based plans, event ingestion, period close
MCP integration HTTP MCP server, Claude Desktop setup, available tools
AI agents Crux driptab-operator agent, CLI/API/ops skills

Reference

CLI reference All dtab commands, flags, and examples
API reference REST endpoints, request/response shapes
driptab.yaml schema Full driptab.yaml field reference
Webhook events All event types with payload shapes

Pricing

Pricing Hosted and self-hosted package limits

Key facts

  • Single deployment: Cloudflare Workers + D1 + Durable Objects + KV + R2. No separate database.
  • Multi-tenant: org → workspace → project hierarchy. All billing data is project-scoped.
  • Idempotent by design: every event ingestion, every mutation is safe to retry.
  • Agent-first: the API is designed to be driven by AI agents over MCP.
  • Open-source ready: the platform is self-deployable via Wrangler.