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Time Series Completeness — Equal-Width Histogram & Keyed Dataset Comparison
x402
Time Series Completeness — Equal-Width Histogram & 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).
Analyzes time series completeness records (observed vs expected data points) by generating an equal-width histogram and comparing two keyed datasets, producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + 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
Two independent analytical reports: (1) an equal-width histogram dividing the selected field (observed_points or expected_points) into the specified number of bins with frequency counts per bin, and (2) a keyed dataset comparison that matches rows by key between the primary and secondary datasets to surface differences in time series completeness metrics.
Example use cases
Data pipeline completeness audit
“I need to audit my data pipeline — I have daily records for two groups over the past 6 months with observed_points and expected_points for each day. Can you build a histogram with 8 bins and compare my main pipeline dataset against a backup dataset to see where completeness drops off?”
Sensor data gap detection
“My IoT sensor network logs expected and actual readings per day — can you analyze these completeness records across my sensor groups, generate a 5-bin histogram of the observed_points distribution, and compare this week's data against last week's records to spot any coverage gaps?”
Comparing two reporting periods
“I want to compare how complete our data collection was in Q3 versus Q4 — I have rows with row_id, dataset_group, date, observed_points, and expected_points for both quarters. Please run a histogram with 10 bins on the observed_points field and key-match the two quarters for a side-by-side completeness comparison.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distributional view (histogram) and a record-by-record comparison (keyed diff) of time series completeness data in a single paid call. Ideal for data quality audits where you have paired observed/expected counts per date and want to understand distribution shape and cross-dataset discrepancies simultaneously without external data lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected with max items error
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) in any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Bins parameter out of range (must be 1–30) — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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