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Time Series Completeness — Duplicate Key Report + Category Frequencies
x402
Time Series Completeness — Duplicate Key Report + Category Frequencies 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 up to 200 time series completeness records to produce a duplicate key report and category frequency breakdown for observed vs. expected data points.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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) a duplicate key report identifying which row_id or key combinations appear more than once across the submitted rows, and (2) a category frequency table showing how often each dataset_group value appears. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Auditing completeness log for duplicates
“I have a batch of time series completeness records — each has a row ID, a date, a dataset group, and observed vs expected point counts. Can you check whether any row IDs are duplicated and tell me the frequency of each dataset group across all 200 rows?”
Data pipeline integrity check
“My pipeline emits completeness records daily with observed_points and expected_points per dataset group. Can you run a duplicate key report and category frequency breakdown on the last export so I can spot any repeated entries or skewed group distributions?”
Multi-group completeness frequency summary
“I've got completeness tracking rows for several dataset groups — 'sensors-east', 'sensors-west', and 'sensors-north' — across October. Please give me a duplicate key report on the row IDs and a frequency count of how many rows each group has.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 time series completeness records and need both a duplicate key audit and a category frequency breakdown in a single call for a flat $0.01 USDC. It is purpose-built for completeness data with observed_points and expected_points fields, unlike general-purpose analytics tools. Prefer it when you want two reports from one payment with no external data dependencies or live lookups.
Side effects
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null or out-of-range numeric values for observed_points or expected_points may cause computation errors
- Empty rows array (minItems:1 violated) will return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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