# Research Sample Recovery – Grouped Numeric Summary

> Research Sample Recovery – Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes a grouped descriptive statistics summary (count, mean, min, max, etc.) for research sample recovery mass data, grouped by specimen type.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-group-summary?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/research-sample-recovery-grouped-numeric-summary-a6ba3f4e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fMsqHMuTWqXT_BbAMApLZ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability research-sample-recovery-grouped-numeric-summary-a6ba3f4e -d '<json body>'
```

Example prompt: I have up to 200 rows of lab sample recovery data with specimen group labels, dates, input mass, and recovered mass — can you run a grouped numeric summary on the recovered_mass_g field so I can see descriptive statistics (count, mean, min, max, etc.) broken down by specimen?

## When to prefer this

Choose this endpoint when you have up to 200 typed sample recovery records and need grouped descriptive statistics broken down by specimen, without requiring any external data enrichment or forecasting. Ideal for laboratory or research workflows where you want a fast, bounded analytics summary at low cost ($0.01 USDC per call). Prefer alternatives if you need time-series forecasting, histogram distributions, or unbounded datasets.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, specimen, date, input_mass_g, recovered_mass_g) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Invalid field enum value (not input_mass_g or recovered_mass_g) — schema error
- All mass values are null — may produce empty or degenerate summary

## How this service works

Research sample recovery - Grouped numeric summary: Grouped numeric summary 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 grouped numeric summary report.

## Output

A grouped descriptive analytics report containing numeric summary statistics (such as count, mean, min, max, standard deviation) for the selected mass field (input_mass_g or recovered_mass_g), broken down by specimen group. No forecasts or enrichment — purely local descriptive analytics on the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "specimen",
     "date",
     "input_mass_g",
     "recovered_mass_g"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "specimen": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "input_mass_g": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "recovered_mass_g": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "specimen": "group-a",
     "input_mass_g": 10,
     "recovered_mass_g": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "specimen": "group-b",
     "input_mass_g": 20,
     "recovered_mass_g": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "specimen": "group-a",
     "input_mass_g": 15,
     "recovered_mass_g": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "specimen": "group-b",
     "input_mass_g": 30,
     "recovered_mass_g": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "input_mass_g",
    "recovered_mass_g"
   ],
   "type": "string",
   "default": "input_mass_g"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-sample-recovery-grouped-numeric-summary-a6ba3f4e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)