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Time Series Completeness — Numeric Interval Filter + Equal-Width Histogram
x402
Time Series Completeness — Numeric Interval Filter + 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).
Filters time series completeness records by a numeric interval and computes an equal-width histogram for either observed_points or expected_points, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Numeric interval filter + Equal-width histogram: Numeric interval filter + 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 analytical reports: (1) a numeric interval filter report listing rows where the selected field (observed_points or expected_points) falls within the specified minimum–maximum range, and (2) an equal-width histogram report showing bin edges, bin counts, and distribution statistics across up to 30 bins — both computed locally from the supplied data without any external lookup.
Example use cases
Data pipeline completeness audit
“I've got completeness logs for my data pipeline — each row has a date, a dataset_group, observed_points and expected_points. Can you filter to rows where expected_points falls between 50 and 500, and give me a 5-bin histogram of expected_points so I can see the distribution?”
Anomaly detection in sensor data
“Here are 200 rows of sensor completeness records. I want to see which ones have observed_points in the range 10 to 80, and I need an equal-width histogram with 8 bins on observed_points to spot where data gaps are clustering.”
Group-level completeness comparison
“I'm comparing completeness across two dataset groups — group-a and group-b — with daily records over the last quarter. Can you run the numeric interval filter (minimum 0, maximum 1000) and a 15-bin histogram on observed_points for all 120 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-129?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have time series completeness records (observed vs expected data points) and need both a numeric range filter and a histogram distribution in a single low-cost call. It is ideal for data quality audits, pipeline monitoring reviews, and exploratory analysis of completeness metrics without needing external data sources or live lookups. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical summaries of supplied data.
Side effects
- More than 200 rows submitted — request rejected with maxItems validation error
- bins value out of range (must be 1–30) — validation error returned
- Row missing required fields (row_id, date, observed_points, expected_points) — schema validation failure
- date field not matching YYYY-MM-DD pattern — validation error
- minimum greater than maximum — may produce empty filter results with no error
- field enum value not 'observed_points' or 'expected_points' — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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