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Time Series Completeness — Duplicate Key Report + Two-Measure Correlation
x402
Time Series Completeness — Duplicate Key Report + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes up to 200 rows of time series completeness records to produce a duplicate key report and a two-measure correlation analysis between observed_points and expected_points.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation for supplied time series completeness records (observed_points, expected_points). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key combinations (e.g., duplicate row_id, date, or dataset_group), and (2) a two-measure correlation report quantifying the statistical relationship between observed_points and expected_points across the supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Duplicate detection in completeness logs
“I have a batch of daily completeness records for two dataset groups — can you check if there are any duplicate row IDs or date/group combinations in this data? Here are 80 rows with row_id, dataset_group, date, observed_points, and expected_points fields.”
Observed vs expected correlation check
“I want to know how strongly my observed_points correlate with my expected_points across 150 daily completeness records — can you run a two-measure correlation report on this data and tell me if they move together?”
Data quality audit before pipeline ingestion
“Before I ingest these 120 time series completeness rows into our pipeline, can you give me a duplicate key report and a correlation analysis between the observed and expected point counts so I can catch any data quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-066?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of time series completeness data (with observed and expected point counts) and need both a duplicate key audit and a correlation analysis in a single, low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when you want a self-contained, offline computation with no external data lookups, and when your data already conforms to the row_id/dataset_group/date/observed_points/expected_points schema.
Side effects
- Exceeding 200 rows causes rejection — trim input to at most 200 items
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Supplying fewer than 1 row causes an error
- Null values in observed_points or expected_points may reduce correlation quality or produce warnings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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