FINANCE

Daily Stripe-to-Ledger Reconciliation Report

Every morning, pulls the prior day's Stripe charges and refunds, compares the net total against the revenue ledger in Snowflake, and posts a reconciled-or-not summary to Slack.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires for prior day
  • ActionSum yesterday's Stripe balance transactionsStripeStripe
  • ActionQuery posted revenue from Snowflake ledgerSnowflakeSnowflake
  • LogicCompute variance against tolerance
  • OutputPost reconciliation verdict to SlackSlack

What it does

At the start of each business day this workflow tallies all of yesterday's settled Stripe activity (charges, refunds, disputes) and checks that the net amount matches what landed in your revenue ledger. It posts a one-line verdict to your finance Slack channel — balanced, or off by $X — so the close starts from a known state.

When to use it

Run it daily if you book Stripe revenue into a warehouse ledger and want a same-day signal when the two diverge, instead of discovering gaps at month-end. Ideal for finance ops teams owning a daily or weekly soft close.

How it works

  1. 1A schedule fires each morning for the prior calendar day.
  2. 2The Stripe step lists balance transactions for that window and sums net amount by currency.
  3. 3The Snowflake step queries the ledger table for the same day's posted revenue.
  4. 4A logic step computes the variance and flags anything outside a cent-level tolerance.
  5. 5A Slack message reports the verdict, the two totals, and the delta — with a clear callout when reconciliation fails.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  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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