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Asset Coverage Data Quality Analyzer — Record Audit, String Normalisation & Correlation
x402
Asset Coverage Data Quality Analyzer — Record Audit, String Normalisation & Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three local analytical reports on supplied asset coverage data: record quality audit, string normalisation, and two-measure correlation between known_assets and monitored_assets for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Asset coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied asset coverage records (known_assets, monitored_assets). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit identifying missing, malformed, or inconsistent values across the supplied rows; (2) a string normalisation report showing standardised versions of text fields like control_group; (3) a two-measure correlation report quantifying the statistical relationship between known_assets and monitored_assets values.
Example use cases
Pre-reporting asset coverage data audit
“Before I send this asset coverage report to my security team, can you audit the record quality, normalise any inconsistent string fields, and check the correlation between known_assets and monitored_assets for these 150 rows?”
IT asset monitoring data validation
“I have a CSV of daily asset coverage readings across different control groups with known_assets and monitored_assets counts. Can you run a quality check, fix up any string formatting issues, and tell me how correlated the two asset measures are?”
Security asset gap analysis data cleanup
“We track known vs monitored assets per control group daily. Can you audit these 80 rows for record quality problems, normalise the control_group strings, and show me the correlation between the two asset columns so I can spot coverage gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-10-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations on asset coverage data in a single call at low cost — specifically record quality auditing, string normalisation, and correlation between two numeric measures. Ideal for pre-analysis data cleaning and validation of asset tracking datasets up to 200 rows. Prefer this over separate quality tools when your data involves the specific known_assets/monitored_assets schema and you want bundled, offline local analysis without external lookups or live data enrichment.
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, control_group, date, known_assets, monitored_assets) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
- Payment failure or insufficient USDC balance blocks processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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