INVOICE PROCESSING

Flag Month-Over-Month Increases on Your Stripe Subscriptions

On a daily schedule, pulls your active Stripe subscriptions and recent invoices, compares each subscription's current charge to its prior period.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionList subscriptions and recent invoicesStripeStripe
  • LogicIsolate rate hikes with unchanged quantity
  • ActionAppend increases to audit tablePostgreSQLPostgres
  • OutputPost month-over-month digest to SlackSlack

What it does

When you pay vendors through cards billed via Stripe, price increases show up only as a slightly larger charge. This workflow scans your Stripe subscriptions daily, compares the amount charged this period against the prior invoice for the same subscription, and surfaces any increase. It distinguishes a true rate hike from a usage-based change by checking whether the quantity stayed flat while the unit amount rose.

When to use it

Use this when your outgoing recurring spend runs through Stripe and you want an automatic monthly audit of every subscription's price rather than eyeballing statements.

How it works

  1. 1A daily schedule triggers the run.
  2. 2A Stripe step lists active subscriptions and their two most recent invoices.
  3. 3A logic step compares current vs previous amount per subscription and isolates rate increases where quantity is unchanged.
  4. 4Each detected increase is appended to a Postgres audit table for history.
  5. 5A Slack digest posts all subscriptions that went up, with old amount, new amount, and effective date.

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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