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Validate JSON schema compliance for agent pipeline feeds

Per-record schema pass/fail for agent pipeline feeds with repair hints — continuous agent-output quality monitoring.

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LLM Output Validator: JSON Schema + Repair Hints
LLM Output Validator: JSON Schema + Repair Hintscodeclouds/llm-output-validator
#
Valid
Error count
Truncated
+2 fields
Text
Number
Boolean
List
Object

Input

Documents to validate(required):{"pipelineStep": "extract", "result": "success", "data": {}}+1
Generate repair hints:true
Apply safe normalization:false

Output fields

#
Valid
Error count
Truncated
Repairable
Errors

How it works

Sign up on Apify or log in

The LLM Output Validator: JSON Schema + Repair Hints Actor is ready to run with the inputs already set for "Validate JSON schema compliance for agent pipeline feeds". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Validate JSON schema compliance for agent pipeline feeds" task

The LLM Output Validator: JSON Schema + Repair Hints Actor will start running based on the input automatically. You can also change all the input fields, like documents to validate, generate repair hints, and more, to match your specific use case.

Receive the "Validate JSON schema compliance for agent pipeline feeds" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, valid, error count, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Validate JSON schema compliance for agent pipeline feeds" task via API.

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