AI Data Auditor
AI Data Auditor
Get an instant health score for your dataset and uncover duplicates, missing values, and privacy risks before they impact decisions.
Audits Run
Source Data
Free (small dataset)
Ready to Audit
Paste data or upload a file to get your health score.
Auditing data regularly?
Free to run — sign up for 250 bonus credits, then pay only for what you use. No subscription.
Audit Your Data Health Before You Analyze
Bad data leads to bad decisions. Our AI Auditor performs a comprehensive health check on your dataset, grading it on completeness, uniqueness, and quality—so you know exactly what needs fixing.
Instant Data Grading
Get a simple A-F grade for your dataset. We analyze thousands of cells in seconds to give you a clear, objective quality score based on industry standards.
Issue Detection
We automatically flag critical issues like duplicates, missing values, inconsistent formatting, and invalid emails so you don't have to hunt for them manually.
Actionable Fixes
We don't just find problems; we tell you how to fix them. One-click recommendations link directly to our Cleaner, Anonymizer, or Enricher tools for immediate resolution.
Data Health Score
Comprehensive Audit Checks
What we look for when we scan your files
Completeness
Identifies empty cells and null values across all columns to ensure dataset integrity.
Uniqueness
Detects exact duplicates and fuzzy matches to prevent redundant data processing.
PII Detection
Scans for sensitive info like emails, phone numbers, and SSNs that may need redaction.
Format Consistency
Checks if dates, phone numbers, and currencies follow a unified format.
Outlier Detection
Flags values that deviate significantly from the norm, indicating potential errors.
Validity Checks
Verifies if emails have valid domains and if numeric fields contain actual numbers.
Stop Relying on "Gut Feeling"
Validate your data with precision. Catch errors before they break your dashboard or ruin your marketing campaign.
The AI Data Auditor gives any spreadsheet or CSV an instant health check. Instead of eyeballing thousands of rows, you get a quality score plus a prioritized list of exactly what is wrong — missing values, duplicate records, inconsistent formats, and schema problems — with a recommended fix for each. It is the fastest way to know whether a dataset is safe to analyze, share, or load into a downstream system.
How it works
- 1
Add your data
Paste a CSV or JSON sample, or sign in to upload a file or connect a Google Sheet.
- 2
AI profiles every column
It measures completeness and uniqueness and scans for type mismatches, outliers, and structural issues.
- 3
Get a scored report
You receive an overall health score with completeness and uniqueness metrics broken out per column.
- 4
Fix and re-check
Each issue links to the right tool — send messy fields to the Cleaner or duplicates to dedupe — then audit again to confirm.
Use cases
Pre-analysis sanity check
Analysts validate a dataset before building a dashboard so a bad source never silently skews the numbers.
Vendor & partner data intake
Ops teams score every inbound file from suppliers or partners to catch broken exports before they enter the warehouse.
Migration readiness
Before a CRM or ERP migration, audit the export to surface schema gaps and integrity issues that would fail the import.
Recurring data QA
Run the same monthly extract through the auditor to detect regressions in upstream pipelines early.
Why DatumFuse
Objective health score
A single, repeatable number to track data quality over time instead of subjective spot checks.
Issue-level recommendations
Not just "this is bad" — a concrete next action for each problem it finds.
No setup, no SQL
Works on a pasted sample in seconds; no scripts, profiling libraries, or warehouse access required.
Privacy-respecting
Your data is processed to produce the report and is not used to train third-party models.
Frequently asked questions
- What does the AI Data Auditor check?
- It scores completeness and uniqueness and flags missing values, duplicate rows, type and format inconsistencies, outliers, and schema mismatches, with a suggested fix for each.
- Is the data auditor free?
- Yes. You can audit pasted data with no signup, and create a free account to audit uploaded files and Google Sheets.
- What file formats are supported?
- CSV and JSON paste, plus CSV and spreadsheet file uploads and Google Sheets connections when logged in.
- How is the data quality score calculated?
- The score combines completeness (how much data is present) and uniqueness (how few duplicates exist) across your columns, weighted by the severity of the issues detected.
- Is my data used to train AI models?
- No. Your data is used only to generate your audit report. We never use your files, data, or prompts to train third-party AI models.
- How large a dataset can I audit?
- Pasted samples are ideal for a quick check; signed-in users can upload larger files. Very large datasets are best sampled, since the auditor is designed for fast, representative profiling.