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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

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Incoming Payload
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Rule Engine
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Valid Payload
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Endpoint

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.

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Incomplete addresses

Shipping addresses arrive without ZIP codes, wrong country formats or missing street numbers β€” causing failed deliveries.

β†’Validate shipping addresses automatically and reject incomplete data before it enters your system.
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Missing coordinates

Logistics workflows need lat/lng for routing β€” but most payloads don't include them.

β†’Enrich payloads with geocoding and add coordinates automatically when an address is present.
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Carrier-specific formats

Each carrier expects different fields and formats. One-size-fits-all processing causes errors.

β†’Apply rules only for specific carriers using conditions like "carrier equals DHL".
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Invalid or test orders

Test data, duplicate orders or incomplete requests clutter your production system.

β†’Block invalid orders by checking required fields and value patterns before forwarding.
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Inconsistent supplier data

Every supplier sends data in a slightly different format β€” different field names, date formats or unit conventions.

β†’Normalize supplier payloads by transforming fields into a consistent format automatically.
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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.

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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.

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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.

πŸ“Validate 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.

app.myapimonitor.com
πŸ“‹ Address ValidationRule active
Condition
Field
zip_code
Operator
exists
+ Add condition

🌐Add 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.

app.myapimonitor.com
πŸ“‹ GeocodingRule active
Condition
Field
shipping_type
Operator
equals
Value
express
+ Add condition

🚚Apply 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.

app.myapimonitor.com
πŸ“‹ Address FormatRule active
Condition
Field
carrier
Operator
equals
Value
DHL
+ Add condition

🚫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.

app.myapimonitor.com
πŸ“‹ Order GateRule active
Condition
Field
order_id
Operator
exists
+ Add condition

πŸ”„Normalize 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.

app.myapimonitor.com
πŸ“‹ NormalizeRule active
Condition
Field
supplier
Operator
not_equals
+ Add condition

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.

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No redeploy

Update validation logic instantly. No CI pipeline, no release cycle, no waiting.

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No code changes

Non-technical team members can configure rules. No developer bottleneck.

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No downtime

Rules update in real-time. Your API never goes offline for a config change.

With code
1Write validation logic
2Write tests
3Code review & merge
4Deploy to production
5Monitor for regressions
With rules
1Open the UI
2Configure your rule
3Done β€” active immediately

Why rule-based conditions?

  • βœ“ Save costs β€” API calls only when needed
  • βœ“ Reduce errors β€” validate data before processing
  • βœ“ Scale flexibly β€” adjust rules at any time
  • βœ“ No code required β€” configure everything via the UI

Try us free for 14 days and see the difference!

Start free now