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flowglad-integration skill

/skills/flowglad-integration

This skill automates zero-webhook billing for AI agents by generating polling-based checkout flows and ledger-driven usage metering.

npx playbooks add skill plurigrid/asi --skill flowglad-integration

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: flowglad-integration
description: Zero-webhook billing for AI agents
version: 1.0.0
trit: 1
---

# Flowglad Integration

> **Trit**: +1 (PLUS) - Generates billing flows

Zero-webhook billing platform for AI agent subscriptions.

## Overview

Resolves credit balance friction via polling-based checkout.

## GF(3) Triad

| Trit | Skill | Role |
|------|-------|------|
| -1 | amp-skill | Validates credit |
| 0 | unified-reafference | Coordinates state |
| +1 | flowglad-integration | Generates checkout |

## Patterns That Work

- Polling-based checkout (no webhooks)
- Usage metering via ledger
- Multi-tenant with RLS

## Patterns to Avoid

- Webhook-dependent flows
- Synchronous payment confirmation

## Related Skills

- amp-skill
- unified-reafference
- aptos-trading

## SDF Interleaving

This skill connects to **Software Design for Flexibility** (Hanson & Sussman, 2021):

### Primary Chapter: 10. Adventure Game Example

**Concepts**: autonomous agent, game, synthesis

### GF(3) Balanced Triad

```
flowglad-integration (−) + SDF.Ch10 (+) + [balancer] (○) = 0
```

**Skill Trit**: -1 (MINUS - verification)

### Secondary Chapters

- Ch4: Pattern Matching

### Connection Pattern

Adventure games synthesize techniques. This skill integrates multiple patterns.

Overview

This skill provides a zero-webhook billing integration for AI agents, enabling polling-based checkout and subscription management. It removes webhook dependency and resolves credit balance friction by using ledger metering and polling to confirm payments. The implementation targets multi-tenant deployments and enforces row-level security for tenant isolation. It is written in Python and designed to be embedded into agent billing workflows.

How this skill works

The integration generates checkout flows and monitors ledger entries to detect confirmed usage and payments via polling rather than webhooks. It validates credit and usage through a coordinated state system that ties invoices, ledger entries, and subscription records together. The skill exposes lightweight hooks for agents to request checkouts, poll for confirmation, and reconcile balances. Multi-tenant support is handled with RLS and per-tenant ledgers to prevent cross-tenant leakage.

When to use it

  • When webhooks are unreliable or not allowed by the hosting environment.
  • When you need eventual, polling-based confirmation of payments for agent subscriptions.
  • When usage metering must be auditable via a ledger rather than synchronous confirmation.
  • In multi-tenant systems that require row-level security and tenant isolation.
  • When you want to decouple payment confirmation from agent runtime latency.

Best practices

  • Use short, configurable polling intervals and exponential backoff to balance latency and load.
  • Record every state transition in the ledger for auditability and reconciliation.
  • Enforce row-level security on tenant tables and ledger entries to prevent data leaks.
  • Design the agent flow to accept eventual confirmation and to handle retries gracefully.
  • Keep metering granular and idempotent to avoid double-charging during retries.

Example use cases

  • An AI assistant platform that charges per session but runs in environments that block inbound webhooks.
  • A multi-tenant SaaS offering where each tenant must see a separate billing ledger and subscription status.
  • A marketplace of autonomous agents that bill based on usage events recorded to a central ledger.
  • A compliance-focused deployment that requires a fully auditable, replayable billing trail without synchronous payment callbacks.

FAQ

How does polling avoid double charges?

Metering and ledger entries are idempotent; each usage record has a unique idempotency key and the ledger enforces single-apply semantics during reconciliation.

What if polling latency is unacceptable for my UX?

Tune polling intervals and use optimistic UI with clear state messaging. For critical flows, combine fast local credit checks with ledger-backed final confirmation.