INVOICE PROCESSING

Flag Stripe Subscription Invoices That Spike Above Their Baseline

When Stripe finalizes a subscription invoice, compares its amount to that subscription's rolling historical average and posts a Slack alert if it deviates beyond your threshold…

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStripe invoice.finalized webhookStripeStripe
  • ActionFetch subscription's recent invoices, compute baselinePostgreSQLPostgres
  • LogicDeviation exceeds threshold?
  • ActionRecord anomaly row for audit trailPostgreSQLPostgres
  • OutputPost baseline-breach alert to finance Slack channelSlack

What it does

Catches recurring-charge surprises the moment Stripe finalizes an invoice. It pulls the last several invoices for the same subscription, computes a baseline, and if the new amount jumps past your tolerance (for example, more than 25 percent above average), it raises a Slack alert during the finalization window — before the card is charged.

When to use it

Use it when vendors silently bump subscription pricing, add seats, or apply usage overages that you only notice on the credit card statement. It gives finance a chance to dispute or pause a charge while it is still pending rather than chasing a refund later.

How it works

  1. 1Stripe fires `invoice.finalized` for a subscription invoice.
  2. 2The flow queries Postgres for that subscription's recent paid invoices and computes a rolling average and standard deviation.
  3. 3A logic step compares the new amount against the baseline plus your threshold.
  4. 4If it is within tolerance, the run ends quietly.
  5. 5If it deviates, an action writes the anomaly row back to Postgres for the audit trail.
  6. 6A Slack message tags the finance channel with the vendor, old vs new amount, percent change, and the invoice link so someone can act before settlement.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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