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Time Series Completeness — Duplicate Key Report + Keyed Dataset Comparison
x402
Time Series Completeness — Duplicate Key Report + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Generates two analytical reports on time series completeness records: a duplicate key report and a keyed dataset comparison, processing up to 200 rows locally with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison 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 row_id or date/group key collisions within the supplied dataset, and (2) a keyed dataset comparison showing differences between the primary (rows) and secondary (other) datasets matched by key fields. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Data pipeline completeness audit
“I have daily completeness logs for two dataset groups — can you run a duplicate key check and a side-by-side comparison on these two batches? Primary batch has rows for group-a and group-b from 2024-01-01 to 2024-01-10 with observed and expected points, and the secondary batch is last week's version of the same rows with updated observed_points.”
Detecting duplicate dates in monitoring data
“My time series monitoring export might have duplicate date-group combinations — can you run a duplicate key report on these 150 rows of completeness records with row_id, dataset_group, date, observed_points, and expected_points fields?”
Comparing two ETL completeness snapshots
“I ran two ETL jobs and got different completeness counts — can you compare the two result sets row by row using the row_id as the key? I want to see which rows have different observed_points or expected_points between the first run and the second run.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a keyed dataset diff on time series completeness records (observed vs expected data points) in a single $0.01 call. It is purpose-built for up to 200 rows of date-keyed completeness data and runs entirely on local analytical engines — no external data access. Prefer this over general-purpose analytics tools when you specifically need the combination of duplicate detection and dataset comparison on completeness metrics structured around observed_points and expected_points fields.
Side effects
- Empty rows array — minItems:1 enforced, returns validation error
- More than 200 rows submitted — maxItems:200 enforced, request rejected
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — request rejected
- row_id exceeding 80 characters — schema validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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