Used OpenClaw to Fix Expense Tracking Script – Caught Subscription Logic I Missed

A developer used OpenClaw to debug and rewrite a Python expense tracking script that was misclassifying weekly grocery trips as subscriptions. The script used transaction frequency alone to determine if a charge was a subscription, causing Trader Joe's to appear alongside Spotify and iCloud. OpenClaw fixed the classification logic to check for fixed amounts and consistent billing intervals, and added a tolerance range for amount matching.

Original Problem

The script categorized all recurring charges as subscriptions, but it only looked at how often a merchant appeared. This meant weekly Trader Joe's trips were classified as subscriptions alongside fixed monthly plans like Spotify ($16.99/month) and iCloud. The developer wanted groceries, coffee, and gas to remain in the variable spending category.

OpenClaw Fix

OpenClaw rewrote the categorization to check for:

• Fixed amounts: subscription charges like gym membership and Ring Protect have identical amounts each month
• Consistent billing intervals: regular dates or monthly cadence, not just frequency
• Amount tolerance range: for charges like a phone bill at $110, exact matching failed when one month T-Mobile charged $110.47; OpenClaw added a tolerance range instead of exact matching

The updated script now correctly separates subscriptions (fixed amount + consistent interval) from variable spending (groceries, coffee, gas). The developer reported it saved hours of debugging.