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Robots Review Observations — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Robots Review Observations — Record Quality Audit + String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of robots review observation data containing checked_paths and restricted_paths fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Robots review observations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied robots review observations records (checked_paths, restricted_paths). 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
Three structured analytical reports delivered together: (1) a record quality audit flagging missing values, format violations, and completeness issues across all rows; (2) a string normalisation report standardising the site_group and date text fields; and (3) a numeric distribution summary (histogram or statistics) for the selected field (checked_paths or restricted_paths). All computed locally on the supplied data with no external lookups.
Example use cases
Pre-pipeline data quality gate
“Before I load this month's robots review observations into our pipeline, run a record quality audit and string normalisation on these 50 rows — site groups alpha, beta, gamma across October 2026 — and give me a numeric distribution for the restricted_paths field so I know if anything looks off.”
Spotting anomalies in crawl policy data
“I've got 120 rows of robots review logs with checked_paths and restricted_paths values and I want to know if the numeric distribution of checked_paths looks normal or if there are weird outliers — can you also do a quality audit and string normalisation pass on the site_group column?”
Cleaning up inconsistent site group labels
“My robots review observation dataset has messy site_group strings across 80 rows dating from 2026-09-01 to 2026-09-30 — please run string normalisation on them, do a record quality audit for nulls or format issues, and show me the numeric distribution for restricted_paths.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-07-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three analytical passes — quality audit, string normalisation, and numeric distribution — on robots review observation data in a single low-cost call. It is ideal for pre-processing pipelines, data cleaning workflows, or ad-hoc profiling of up to 200 rows of checked_paths and restricted_paths records. Prefer it over general-purpose data tools when you want bundled local analytics without any external lookups or side effects.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, date, checked_paths, restricted_paths) are rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not checked_paths or restricted_paths) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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