Stop fixing bad payloads manually
Use rules to validate, transform and enrich API data automatically.
Incoming API data is messy. Fields are missing, formats vary, and every supplier sends something different. Instead of writing custom code for every edge case, define rules that clean up, validate and enrich payloads before they reach your system.
How rules process your data
Every incoming request passes through your configured rules. Invalid data is rejected, missing fields are enriched, and only clean payloads reach your target system.
The problem with raw API data
API payloads from partners, suppliers and third-party systems are rarely perfect. Without rules, you're stuck fixing data manually or writing brittle glue code.
Incomplete addresses
Shipping addresses arrive without ZIP codes, wrong country formats or missing street numbers β causing failed deliveries.
Missing coordinates
Logistics workflows need lat/lng for routing β but most payloads don't include them.
Carrier-specific formats
Each carrier expects different fields and formats. One-size-fits-all processing causes errors.
Invalid or test orders
Test data, duplicate orders or incomplete requests clutter your production system.
Inconsistent supplier data
Every supplier sends data in a slightly different format β different field names, date formats or unit conventions.
Validate & enrich automatically
Check addresses, add geocoding data and validate required fields β all without writing a single line of code. Rules run on every request and catch issues before they cause problems.
Condition-driven logic
Apply rules only when specific conditions are met. Filter by carrier, country, shipping type or any field in your payload β with simple equals, contains or exists operators.
Configure, don't code
Create and adjust rules through a simple UI. No deployments, no pull requests, no downtime. Changes take effect immediately.
Real-world use cases
See how teams use rules to automate data quality across their API integrations.
πValidate shipping addresses
Check that every incoming order has a valid shipping address. Missing ZIP codes, invalid street names or incomplete data are flagged immediately β before they cause a failed delivery.
πAdd coordinates with geocoding
Automatically enrich addresses with latitude and longitude. Enable geocoding only for express shipments or specific regions β and skip it when it's not needed.
πApply rules for specific carriers
Use conditions to run rules only for certain carriers. For example, validate address formats only for DHL shipments while skipping others.
π«Block invalid orders
Prevent incomplete or test orders from reaching your system. Check for required fields like order_id, validate values and reject payloads that don't meet your criteria.
πNormalize supplier payloads
Transform inconsistent supplier data into a unified format. Map different field names, convert date formats and standardize values β all through configurable rules.
Why not just code this?
Because rules are faster, reusable and configurable.
Writing custom validation and transformation logic in code works β until you need to change it. Every update requires a code change, a review, a deploy, and introduces risk. Rules let you skip all of that.
No redeploy
Update validation logic instantly. No CI pipeline, no release cycle, no waiting.
No code changes
Non-technical team members can configure rules. No developer bottleneck.
No downtime
Rules update in real-time. Your API never goes offline for a config change.
Why rule-based conditions?
- β Save costs β API calls only when needed
- β Reduce errors β validate data before processing
- β Scale flexibly β adjust rules at any time
- β No code required β configure everything via the UI