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Time Series Completeness — Base-100 Series + Keyed Dataset Comparison
x402
Time Series Completeness — Base-100 Series + 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 by generating a Base-100 indexed series and a keyed dataset comparison report for up to 200 rows across two independent analyses.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Base-100 series + Keyed dataset comparison: Base-100 series + 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
Returns two independent analytical reports: (1) a Base-100 indexed time series showing completeness relative to a base value across dates, and (2) a keyed dataset comparison contrasting the two supplied datasets of completeness records — covering observed vs expected data points per row and group, all computed locally without external lookups.
Example use cases
Daily sensor data completeness audit
“I have two months of daily sensor readings with observed and expected data points per day for two sensor groups — can you run a Base-100 completeness series and a keyed dataset comparison so I can see which days and groups have coverage gaps?”
Comparing completeness across pipeline versions
“I'm tracking two versions of our data pipeline by date — each row has observed_points and expected_points. Can you produce a Base-100 series for version A and compare it against version B using the keyed dataset comparison report?”
Weekly ETL job completeness benchmarking
“Each row in my dataset has a date, a dataset_group like 'etl-run-1' or 'etl-run-2', and observed vs expected record counts. Please run the completeness analytics using observed_points and give me the Base-100 series plus a keyed comparison between the two ETL groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to analyze time series completeness data (observed vs expected points) and want two simultaneous analytical outputs — a Base-100 normalized series for trend benchmarking plus a keyed group comparison — without needing live data lookup, forecasting, or external enrichment. It is ideal for data quality auditing, pipeline monitoring, and completeness gap detection workflows where you supply your own data rows (up to 200) and need fast, local computation at low cost ($0.01 USDC for both reports).
Side effects
- Input rows array is empty or exceeds 200 items — rejected with validation error
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) on any row
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values for observed_points or expected_points outside allowed range
- Payment not completed via x402 protocol — request rejected
- Null values in numeric fields may affect computation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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