Find apify dataset quality auditor v2 with source evidence

Created by

Zentra

Actor

JSON Dataset Quality Auditor

This task locates up to 10 buyer-ready records with associated source evidence. It provides structured data for qualified records confidently.

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JSON Dataset Quality Auditorzentrafoundry/apify-dataset-quality-auditor-v2

Dataset Identifier

Quality Score

Schema Issues

Duplicate Count

+10 fields

Input

Apify Dataset Quality Auditor V2 Record query:buyer-ready records with source evidence

Apify Dataset Quality Auditor V2 Record task intent:find-qualified-records

Run sample or approved live sources(required):sample

Apify Dataset Quality Auditor V2 Record output mode:buyer-ready-records

Approved Apify Dataset Quality Auditor V2 Record source URLs

Maximum rows per member source:5

Overall timeout seconds:900

Source request timeout seconds:30

Maximum source retries:2

Only emit new logical records:false

Delta mode:true

Member timeout seconds:300

Zentra owner suite QA:false

Output fields

Dataset Identifier

Quality Score

Schema Issues

Duplicate Count

Missing Field Count

Drift Summary

Transformation Summary

Validation Result

Record Id

Source Name

Source Url

Score

Confidence

Retrieved At

How it works

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The JSON Dataset Quality Auditor Actor is ready to run with the inputs already set for "Find apify dataset quality auditor v2 with source evidence". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find apify dataset quality auditor v2 with source evidence" task

The JSON Dataset Quality Auditor Actor will start running based on the input automatically. You can also change all the input fields, like apify dataset quality auditor v2 record query, apify dataset quality auditor v2 record task intent, and more, to match your specific use case.

Receive the "Find apify dataset quality auditor v2 with source evidence" 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 dataset identifier, quality score, schema issues, and more.