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Research Sample Recovery – Numeric Row Ordering
x402
Research Sample Recovery – Numeric Row Ordering 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).
Sorts up to 200 research sample recovery records by a chosen numeric field (input_mass_g or recovered_mass_g) and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research sample recovery - Numeric row ordering: Numeric row ordering 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 numeric row ordering report.
Output
A bounded numeric row ordering report containing the submitted sample recovery records sorted by the specified mass field (input_mass_g or recovered_mass_g), along with local descriptive analytics — no external enrichment or forecasting is performed.
Example use cases
Rank specimens by recovered yield
“I have a batch of 50 specimen records with input and recovered masses — can you sort them by recovered_mass_g and show me which specimens had the highest recovery?”
Identify lowest-input samples first
“Sort my 120 lab sample records by input_mass_g ascending so I can see which ones started with the least material — here are all the rows with row IDs, specimen names, dates, and mass values.”
Compare two specimen groups by mass
“I've got recovery data for group-a and group-b specimens across 30 dates — order all the rows by input_mass_g so I can compare how the two groups stack up numerically.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-sort?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 research sample recovery records and need a simple numeric sort by input or recovered mass with local descriptive analytics, without requiring any data enrichment, forecasting, or external lookups. Ideal for laboratory data pipelines where cost ($0.01 per call) and deterministic local analytics matter more than advanced statistical modeling.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, specimen, date, input_mass_g, recovered_mass_g) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Unsupported field enum value other than input_mass_g or recovered_mass_g is rejected
- Empty rows array returns an error (minimum 1 item required)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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