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Asset Coverage Daily Sum Series with Missing-Value Fill
x402
Asset Coverage Daily Sum Series with 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 2026-10-23).
Computes daily sum time series for asset coverage data (known_assets, monitored_assets) and fills missing values using zero, mean, or median imputation — two bundled analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Asset coverage — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied asset coverage records (known_assets, monitored_assets). 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 bundled analytical reports: (1) a daily sum series aggregating the selected field (known_assets or monitored_assets) by date across all supplied rows, and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily asset totals with gap filling
“I have daily records for Q3 with known_assets and monitored_assets counts per control group — some days are missing values. Can you compute the daily sum series for known_assets and fill those gaps using median substitution across my 120 rows?”
Monitoring coverage time series for security audit
“We have 180 rows of security coverage data with dates and monitored_assets fields, but there are nulls scattered throughout. Please run the daily sum aggregation on monitored_assets and fill missing values with zero so I can review complete daily totals.”
Comparing tracked vs monitored asset trends
“Can you take my 90 rows of asset records — each with a date, control_group, known_assets, and monitored_assets — and produce a daily sum series for monitored_assets with mean imputation for any missing entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-10-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of time-stamped asset coverage records and need both a daily sum time series and explicit missing-value imputation in a single bundled call. It is ideal for offline or batch analytical scenarios where no live data lookup, prediction, or external enrichment is needed. At $0.01 USDC for two reports, it is cost-effective for lightweight asset coverage analytics on supplied data.
Side effects
- Input array has zero rows (minItems: 1 violation) — returns validation error
- Rows exceed 200 items (maxItems violation) — returns validation error
- Date fields do not match YYYY-MM-DD pattern — returns schema validation error
- Numeric values out of allowed range (±1,000,000,000,000) — returns validation error
- Missing required fields (row_id, control_group, date) in any row — returns validation error
- Invalid enum value for field or method parameters — returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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