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Structured Data Observations — Numeric Interval Filter + Daily Sum Series
x402
Structured Data Observations — Numeric Interval Filter + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Applies a numeric interval filter and generates a daily sum time series for structured observation records with valid_items and total_items fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied structured data observations records (valid_items, total_items). 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 analytical reports: (1) a numeric interval filter report identifying which rows have the specified field value within the given minimum–maximum range, and (2) a daily sum series aggregating the specified numeric field by date across all provided rows. Results are computed locally from supplied data with no external lookups.
Example use cases
Quality control observation filtering
“I have 200 rows of daily quality control observations with valid_items and total_items. Filter the valid_items field to only rows between 10 and 500, and also give me a daily sum series so I can see how totals trend over time.”
Site group performance daily rollup
“Here's my structured dataset of site group observations — can you filter out any rows where total_items falls outside the range of 0 to 1000, and also produce a daily sum series for total_items so I can see the day-by-day totals?”
Data validation with temporal aggregation
“I need two reports on this batch of observation records: first, flag which valid_items values fall within the interval 20 to 200, and second, give me a daily sum series for valid_items across all dates in the dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 structured observation rows with date, site_group, valid_items, and total_items fields and need both a numeric range filter report and a daily sum time series in a single low-cost call ($0.01 USDC). It is ideal for batch offline analysis of pre-collected data rather than live lookups or real-time streaming. Prefer alternatives when you need more than 200 rows, live data fetching, prediction, or professional assessment.
Side effects
- Rows array empty or missing — API rejects with validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value outside allowed numeric bounds (±1 trillion) — schema rejection
- Null values in numeric fields may affect aggregation results
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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