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Time Series Completeness — Record Quality Audit + Equal-Width Histogram
x402
Time Series Completeness — Record Quality Audit + Equal-Width Histogram 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).
Runs two local analytical reports (record quality audit and equal-width histogram) on up to 200 time series completeness rows containing observed and expected data point counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram 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 record quality audit flagging completeness issues, nulls, and anomalies across the supplied rows of observed_points and expected_points; and (2) an equal-width histogram distributing the selected field (observed_points or expected_points) across the requested number of bins. Both reports are computed locally using shared analytical engines with no external lookups.
Example use cases
Daily pipeline completeness audit
“Audit these 8 days of pipeline data for record quality — I have observed_points and expected_points per day for two groups, 'ingest-a' and 'ingest-b', and I want a 5-bin histogram over the observed_points field so I can see the distribution at a glance.”
Sensor gap detection across groups
“I have 50 rows of sensor data across three dataset groups from October, each with a date, observed_points, and expected_points. Can you run the quality audit and a 15-bin equal-width histogram on expected_points so I can spot where sensors are underreporting?”
Monthly data completeness summary
“Here are 120 completeness records for my analytics warehouse — one per day across several dataset groups with observed and expected point counts. Run both the record quality audit and a 20-bin histogram on the observed_points field and give me both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected time series completeness data (observed vs expected point counts per date and group) and need two fast, local statistical reports — a quality audit and a histogram — without needing live data lookup, external predictions, or professional assessment. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general analytics platforms when you want a lightweight, deterministic, reproducible analysis of completeness records in a single API call.
Side effects
- More than 200 rows submitted — request rejected with validation error
- bins value outside 1–30 range — schema validation failure
- Missing required fields (row_id, date, observed_points, expected_points) in any row — row rejected or error
- date field not in YYYY-MM-DD format — pattern validation failure
- All values null for selected field — histogram may return empty or degenerate result
- Payment failure — x402 payment not processed, request not fulfilled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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