Nomod payment integrated into usage-based billing stack
Hi HN, We just shipped a Nomod integration in Flexprice. For context, flexprice is an open-source billing system that handles invoices, usage, and credit wallets. One gap we wanted to close was supporting region-specific payment providers without breaking billing state. With this integration: - Invoices finalized in Flexprice can be synced to Nomod - A hosted Nomod payment link is generated for the invoice - Payment status updates flow back into Flexprice - Invoices and payment records stay in sync - Credits (if applicable) are applied only after payment succeeds This keeps billing logic…
What it does
In the maker’s words, at launch
Hi HN, We just shipped a Nomod integration in Flexprice. For context, flexprice is an open-source billing system that handles invoices, usage, and credit wallets. One gap we wanted to close was supporting region-specific payment providers without breaking billing state. With this integration: - Invoices finalized in Flexprice can be synced to Nomod - A hosted Nomod payment link is generated for the invoice - Payment status updates flow back into Flexprice - Invoices and payment records stay in sync - Credits (if applicable) are applied only after payment succeeds This keeps billing logic simple and avoids reconciliation issues later. There's no demo yet, but docs are live here: https://docs.flexprice.io/integrations/nomod/ Happy to answer questions or hear feedback from folks who've built billing or payment integrations before or feel free to join our open-source community if that interests you : http://bit.ly/4huvkDm
Does the same job
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- FOFlexprice: Open-Source Usage-Based Billing Toolkit2025 · ▲7
Hey HN, I’am Koshima, co-founder of Flexprice (https://flexprice.io/). Flexprice is an open source monetization platform for AI & Agentic companies. You can build usage-based, credit-based, or hybrid pricing models with full control. Usage-based billing works on paper, but breaks fast in production: (1) High-volume data (e.g., 10k API calls/sec from AI inferences) breaks naive pipelines, dropping events and causing underbilling or customer complaints. (2) Backfilling missing events or retroactive discounts screws up invoices, forcing 3 AM log stitching to avoid revenue…
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