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Time Series Completeness — Duplicate Key Report + Base-100 Series
x402
Time Series Completeness — Duplicate Key Report + Base-100 Series 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 to produce a duplicate key report and a base-100 indexed series for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 duplicate key report identifying any rows with repeated key combinations across the submitted time series completeness records, and (2) a base-100 indexed series for the selected field (observed_points or expected_points), rebased relative to the specified base_index row. Both reports are computed locally from submitted data with no external lookups.
Example use cases
Audit pipeline data completeness duplicates
“I have a list of daily completeness records for my ETL pipelines — each row has a date, a dataset group, and observed vs expected data points. Can you check this batch of 50 rows for any duplicate row IDs or date-group combinations, and also give me a base-100 series starting from row 0 for observed_points?”
Rebase sensor coverage metrics
“I'm tracking sensor coverage completeness across two groups over the past month — can you take my 30-row dataset of observed and expected readings and produce a base-100 indexed series anchored to the first row so I can compare trends, and flag any duplicates in the process?”
Data quality report for completeness logs
“Before I hand off this completeness log to my team, can you scan these 120 rows — each with a row_id, dataset_group, date, observed_points, and expected_points — for any duplicate keys, and generate a base-100 series using expected_points starting from index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a base-100 rebased series in a single paid call on time series completeness data (observed vs expected points). It is ideal for data quality workflows where you need to detect repeated row identifiers or date-group combinations and simultaneously normalize a metric series to a baseline index, all within a batch of up to 200 rows. Prefer this over manual deduplication or separate reindexing scripts when you want a low-cost ($0.01 USDC), self-contained analytical result without any external data lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- base_index out of range (>= number of submitted rows) — computation error
- null values in observed_points or expected_points may affect base-100 computation
- Missing required fields (row_id, date, dataset_group) — request rejected
- Payment failure via x402 protocol — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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