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Research Sample Recovery - Category Frequencies
x402
Research Sample Recovery - Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes category-frequency counts for research sample recovery records, breaking down specimen groups across up to 200 input rows with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research sample recovery - Category frequencies: Category frequencies 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 category frequencies report.
Output
A bounded category frequencies report listing each distinct specimen category and the number of times it appears across the submitted rows, computed locally from the supplied data with no external enrichment or forecasting.
Example use cases
Lab specimen group frequency audit
“Here are 150 sample recovery rows from our October experiment — each has a specimen type, date, input mass, and recovered mass. Can you count how many records belong to each specimen group and give me a category frequency report?”
Comparing specimen representation across batches
“I've got 80 sample recovery records for two specimen groups, 'control' and 'treated', collected over the past month. Can you tally how many rows belong to each category so I know which group is better represented in my dataset?”
Quality check on sample distribution
“Before I run further analysis, can you count the frequency of each specimen type in these 60 recovery records — I want to make sure the categories are roughly balanced across dates and input masses?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-category-counts?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a simple, local category-frequency count on research sample recovery records (specimen groups) without any enrichment, prediction, or cross-dataset joins. It is ideal for quick descriptive analytics on small batches (up to 200 rows) where you only need to know how often each specimen category appears. Prefer it over heavier analytics pipelines when cost, speed, and simplicity matter most.
Side effects
- Input array is empty or missing — endpoint requires at least 1 row
- Row missing required fields (row_id, specimen, date, input_mass_g, recovered_mass_g) — validation error returned
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- More than 200 rows submitted — exceeds maxItems limit
- Null values in mass fields may affect aggregation behavior
- Payment of 0.01 USDC not fulfilled — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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