Know when your data breaks. Before your reports do.
Find missing values, duplicates, malformed rows, and unexpected schema changes in CSV exports. Start with a free health check and unlock a detailed report for $29. Scheduled monitoring is on the roadmap.
Run free CSV health checkNo signup. No file uploads. Runs locally in your browser.
Count blank cells and identify affected columns.
Identify repeated records in a single export.
Compare column names against a saved baseline in your browser.
Step 1: Choose your CSV
How it works: Select a file → view your free health-check preview → choose the $29 detailed audit if you want the complete findings.
Choose a CSV. Analysis occurs in your browser. A file is never transmitted to DataSignal.
Maximum 10 MB. Supports quoted fields, escaped quotes and multiline values.Designed for teams tired of surprise reporting failures
The proposed subscriptions would add scheduled checks, alerting, history, and team workflows. These features and prices are not available for purchase yet.
One-time Data Quality Audit — $29
Get your detailed audit in 3 steps:
- Select your CSV file.
- Review your free preliminary quality score and issue counts.
- Unlock and download your personalized report after test checkout.
Run the free CSV health check above to preview findings before choosing a paid detailed audit. This is a Sandbox test offering.
Start my data quality audit →Analyze your CSV first, then select the $29 report from the results.All checkout links on this page are Stripe test-mode links. No real payments are collected. Reports are generated in your browser after successful test checkout. These links are for testing only.New: Explore the DataSignal dashboard
Upload a CSV to check its quality, or see how automatic data connections will work. This is an early preview; subscription monitoring is not active yet.
Explore dashboard preview →Interested in a pilot?
We are validating demand for scheduled monitoring. Pilot enrollment is not yet open. For inquiries, contact datasignalhq@outlook.com.