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Time Series Completeness — Duplicate Key Report + Numeric Distribution
x402
Time Series Completeness — Duplicate Key Report + 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 2026-10-15).
Analyzes time series completeness records (observed_points, expected_points) to produce a duplicate key report and numeric distribution for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution 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 within the supplied records, and (2) a numeric distribution report for the selected field (observed_points or expected_points), covering spread, frequency, and statistical distribution — all computed locally from the supplied data, up to 200 rows.
Example use cases
Auditing sensor data completeness logs
“I have 150 daily completeness records for my IoT sensor datasets — can you run a duplicate key check and show me the numeric distribution of observed_points across all of them?”
Validating ETL pipeline completeness records
“After my ETL run, I have completeness rows with row_id, dataset_group, date, observed_points, and expected_points. Check them for any duplicate keys and give me a distribution breakdown of the expected_points field.”
Monitoring reporting data gaps
“Here are my completeness records for last quarter's reporting datasets. Can you flag any duplicate row IDs and tell me the spread of observed_points values — min, max, distribution buckets, that sort of thing?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-055?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate keys and understand the numeric distribution of completeness metrics (observed vs expected points) in a time series dataset, without requiring any external lookup or live data — ideal for lightweight, self-contained data quality audits on batches up to 200 rows at very low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, observed_points, expected_points) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minItems:1 constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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