hyperline.co valid
Hyperline
Hyperline is the billing and revenue platform for B2B SaaS and AI companies. It handles subscription, usage-based and hybrid billing, CPQ and quotes, accounts receivable, revenue recognition (ASC 606 / IFRS 15) and revenue reporting in one platform, so a company goes from the first quote to recognized revenue without stitching tools together.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T02:44:08.995Z. Cached copy · Source on hyperline.co
# Hyperline
> Hyperline is the billing and revenue platform for B2B SaaS and AI companies. It handles subscription, usage-based and hybrid billing, CPQ and quotes, accounts receivable, revenue recognition (ASC 606 / IFRS 15) and revenue reporting in one platform, so a company goes from the first quote to recognized revenue without stitching tools together.
Hyperline meters usage in real time (a billion events a month, 99.97% uptime), bills prepaid credits, drawdown, ramps, tiered and volume plans, seats and outcome-based pricing, and invoices with tax and e-invoicing across 80+ countries. 500+ companies run billing on it, including n8n, lemlist, Plain, Default, Gladia, Formance and Swapcard. Hyperline is SOC 2 Type II and ISO 27001:2022 certified. A dedicated team runs migrations end to end; 300+ have come from Chargebee, Stripe Billing and similar tools.
Important notes:
- Hyperline is not a payment processor. It orchestrates collection through Stripe, Adyen, GoCardless, Mollie and Airwallex, and reconciles the payments it does not process itself.
- Hyperline is not only a subscription manager. Quotes (CPQ inside Salesforce, HubSpot or Attio), invoicing, dunning, cash application, accounting entries and revenue recognition live in the same system.
- Hyperline is a cloud platform, not open source. It is API-first: a public REST API, an events ingestion API for usage, webhooks, an MCP server and native connectors to CRMs, accounting tools and usage data warehouses.
- Usage data can be streamed as events or pulled from BigQuery, Snowflake, PostgreSQL, MongoDB or PostHog, so metering does not require an engineering project.
## Developer and agent resources
- [Documentation index for LLMs](https://docs.hyperline.co/llms.txt): every documentation and API reference page with a one-line description; the full text of all of them is at https://docs.hyperline.co/llms-full.txt
- [Getting started with the API](https://docs.hyperline.co/api-reference/docs/getting-started.md): API keys, first request, service endpoints and sandbox
- [Hyperline API OpenAPI specification](https://api.hyperline.co/openapi): customers, quotes, subscriptions, wallets, invoices, payments and revenue data over REST
- [Events ingestion API OpenAPI specification](https://ingest.hyperline.co/openapi): stream usage events for real-time metering
- [Send usage data](https://docs.hyperline.co/docs/usage/send-usage-data.md): event design, payload structure and best practices for usage-based billing
- [Sandbox and test mode](https://docs.hyperline.co/docs/getting-started/sandbox.md): test subscriptions, invoices and payment flows with no real money moving
- [Hyperline Docs MCP server](https://docs.hyperline.co/mcp): search and read the complete public documentation from an AI assistant; server card at https://docs.hyperline.co/.well-known/mcp/server-card.json
- [Hyperline agent skill](https://docs.hyperline.co/.well-known/agent-skills/hyperline/skill.md): instructions for agents building
…
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