FINANCE

Stripe Dispute Outcome Tracker to Warehouse

When a Stripe dispute is won or lost, this workflow records the final outcome, recovered amount, and reason code into a Postgres analytics table for win-rate reporting.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStripe dispute.closed webhookStripeStripe
  • ActionRead final status, amount, and reason codeStripeStripe
  • ActionJoin order metadata from AirtableAirtableAirtable
  • LogicNormalize outcome and compute resolution time
  • OutputInsert enriched record into Postgres tablePostgreSQLPostgres

What it does

Closes the loop on every dispute. When Stripe finalizes a dispute as won or lost, it captures the outcome, the amount recovered or forfeited, the reason code, and the time-to-resolution, then appends a clean row to a Postgres warehouse table you can chart for win rates by reason code and by product.

When to use it

Use it when you need hard numbers on dispute performance, which reason codes you lose, which products drive chargebacks, and whether your evidence process is actually improving recovery, rather than guessing from the Stripe dashboard.

How it works

  1. 1A Stripe charge.dispute.closed webhook fires with the final status.
  2. 2The flow reads the dispute's status, amount, reason code, and timestamps.
  3. 3It joins the matching order metadata (product, channel, customer segment) from Airtable.
  4. 4A logic step normalizes the outcome into won or lost and computes days-to-resolution.
  5. 5It inserts the enriched record into the Postgres disputes analytics table for reporting.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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