Finflux is the revenue management layer built for autonomous AI agents. Invoice, collect, and reconcile payments — zero human touchpoints.
Fewsats, Lightning Labs, and Primer solve AI spending. The infrastructure for agents to earn, invoice, and collect is wide open.
Every payment SDK is built around humans buying things. When an AI agent delivers a service and needs to get paid, there's no turnkey stack.
Every invoicing tool assumes someone will follow up, approve, and reconcile. Finflux handles all of that autonomously — no human in the loop.
When an AI agent issues an invoice, there's no standard way to track, collect, and reconcile that payment automatically at machine speed.
For AI agents to operate as credible economic actors, they need the same financial reporting and audit trails every business demands.
Three primitives that turn any AI agent into an autonomous revenue engine.
Generate invoices payable via L402, Lightning, or card. One API call. No dashboard, no approval flow — just revenue.
Unpaid invoice? Finflux's collection engine kicks in — reminders, escalation, retries. No human involvement required.
Every payment matched to its invoice automatically. Real-time revenue visibility per agent, per client, per period.
From service delivery to settled revenue — fully autonomous.
Your AI agent completes work and calls ff.invoices.create(). A payable invoice (L402, Lightning, or card) is returned instantly.
Finflux tracks every open invoice. Overdue payments trigger automated follow-ups, payment method retries, or escalation to dispute handling.
Incoming payments match to invoices via webhook. The agent's revenue ledger updates in real-time — no manual reconciliation, ever.
Drop-in SDK for Node, Python, and Go. Configure once — your agents handle invoicing, collection, and reconciliation from that point forward.
The autonomous agent economy needs revenue infrastructure. Finflux is that layer — built agent-native from line one.