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Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report
x402
Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Audits up to 200 time series completeness records for quality issues, removes exact duplicate rows, and generates a duplicate key report — three analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied time series completeness records (observed_points, expected_points). 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 highlighting data issues in the supplied completeness rows, (2) an exact row deduplication result removing fully duplicated records, and (3) a duplicate key report identifying rows sharing the same key fields — all computed locally without external lookups.
Example use cases
Data pipeline completeness audit
“I have a list of daily completeness records for my data pipelines — each row has a row_id, dataset_group, date, observed_points, and expected_points. Can you run a quality audit on them, deduplicate any exact duplicate rows, and flag any duplicate keys?”
Time series data quality validation
“Before I load these time series completeness records into our warehouse, can you check them for quality issues, find and remove exact duplicates, and produce a duplicate key report? There are about 120 rows with observed and expected point counts per date and group.”
Dataset group deduplication report
“I've got some completeness tracking rows for two dataset groups — group-a and group-b — across several dates. Can you audit the record quality, deduplicate any exact matches, and tell me if there are any duplicate keys across the row_ids?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data quality operations — record auditing, exact deduplication, and duplicate key detection — on time series completeness data (observed vs expected points) in a single cheap call ($0.01 USDC). Best for datasets up to 200 rows where you want offline/local analytical results without any live external lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- observed_points or expected_points values outside allowed numeric range cause errors
- Empty rows array (minItems: 1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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