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Research Sample Recovery – Daily Sum Series
x402
Research Sample Recovery – 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 2026-10-13).
Aggregates up to 200 research sample recovery records into a daily sum time series for either input mass or recovered mass, returning local descriptive analytics with no enrichment or forecast.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research sample recovery - Daily sum series: Daily sum series for Research sample recovery. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded daily sum series report.
Output
A daily sum time series report aggregating the chosen field (input_mass_g or recovered_mass_g) across all supplied records, grouped by date. Includes local descriptive analytics such as totals per day. No forecasting or external data enrichment is applied. The report is bounded to the supplied dataset of up to 200 rows.
Example use cases
Daily recovered mass trend for lab study
“I have a month of sample processing logs with columns for date, specimen group, input_mass_g, and recovered_mass_g — up to 120 rows. Can you give me the daily sum series for recovered_mass_g so I can see which days had the highest total recovery?”
Input mass consumption tracking by date
“Here are 80 records from our material extraction trials, each tagged with a date, specimen ID, and input_mass_g. Can you aggregate the daily total input_mass_g for me so I know how much raw material we used each day?”
QC audit of daily specimen throughput
“I need to audit our sample throughput for Q3 — I have 200 rows with date, specimen, input_mass_g, and recovered_mass_g. Can you compute the daily sum series for input_mass_g to verify our intake levels held steady across the quarter?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured research sample recovery records (with mass measurements) and need a quick daily aggregation into a sum time series with descriptive analytics — all computed locally against your supplied data with no external enrichment or forecasting. It is ideal for lab reporting pipelines, QC dashboards, or data-audit workflows where you want a bounded, low-cost ($0.01 USDC) daily rollup from a modest dataset (≤200 records).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, input_mass_g, recovered_mass_g) cause rejection
- Malformed date strings (not YYYY-MM-DD) fail pattern validation
- Invalid field enum value (not input_mass_g or recovered_mass_g) returns an error
- Empty rows array is rejected (minItems: 1)
- Payment failure (insufficient USDC balance) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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