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Time Series Completeness — Equal-Width Histogram + Missing-Value Fill
x402
Time Series Completeness — Equal-Width Histogram + Missing-Value Fill 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 vs expected data points) by building an equal-width histogram and filling missing values, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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
Two analytical reports derived from the supplied completeness records: (1) an equal-width histogram distributing the chosen field (observed_points or expected_points) into the specified number of bins with counts per bin, and (2) a version of the series with missing values explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all computation is local.
Example use cases
Data pipeline completeness audit
“I have 80 rows of daily completeness records for my ingestion pipeline, each with a date, dataset_group, observed_points, and expected_points. Can you build a 5-bin equal-width histogram and fill any missing observed_points values with the median, then give me both reports?”
Monitoring sensor coverage gaps
“I've got completeness records for my sensor network — about 120 rows covering different groups and dates with observed and expected reading counts. Run an equal-width histogram with 8 bins on the expected_points field and fill missing values with zero, and return the two analytical summaries.”
Marketing campaign data quality check
“Here are 40 rows of time series records tracking observed vs expected marketing events per day across campaign groups. Use 6 equal-width bins on observed_points, fill any nulls with the mean, and give me both completeness reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local statistical summary of time series completeness data — specifically an equal-width histogram and explicit missing-value fill — without any external data lookups or predictions. It is ideal for data quality pipelines, monitoring dashboards, or audit workflows where you supply up to 200 rows with observed and expected point counts and want two statistical reports for a flat $0.01 USDC fee. Prefer alternatives if you need real-time data fetching, forecasting, or more than 200 rows processed at once.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Bins value outside 1–30 range causes schema validation error
- All values in chosen field are null — fill and histogram may return degenerate results
- Missing required fields (row_id, date, observed_points, expected_points) cause row rejection
- Non-numeric values for observed_points or expected_points cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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