# Research Sample Recovery – Explicit Missing-Value Fill

> Research Sample Recovery – Explicit Missing-Value Fill 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).

Fills missing numeric values (input_mass_g or recovered_mass_g) in up to 200 research sample recovery records using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/research-sample-recovery-explicit-missing-value-fill-7a6315a7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_18FG8xYXddwen0KiR7rtL

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-explicit-missing-value-fill-7a6315a7 -d '<json body>'
```

Example prompt: I have a batch of research sample recovery records where some input_mass_g values are null — can you fill those missing values using median imputation across up to 200 rows including specimen groups like group-a and group-b with dates in 2026?

## When to prefer this

Choose this endpoint when you have up to 200 typed research sample recovery records with missing numeric mass values and need a quick, local imputation report using standard statistical methods (zero, mean, or median) without external enrichment or forecasting. It is purpose-built for lab/research specimen workflows and outputs a bounded fill report rather than a full ML-based imputation pipeline.

## Known failure modes

- Empty rows array or fewer than 1 item returns an error
- More than 200 rows exceeds the batch limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Field value not in enum ['input_mass_g','recovered_mass_g'] is rejected
- Method value not in enum ['zero','mean','median'] is rejected
- All values in the target field are non-null, resulting in no fills performed
- Mass values outside the allowed numeric range cause validation errors

## How this service works

Research sample recovery - Explicit missing-value fill: Explicit missing-value fill 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 explicit missing-value fill report.

## Output

A bounded missing-value fill report showing which rows had null values in the specified field, what imputed values were assigned using the chosen method (zero, mean, or median), and local descriptive analytics summarizing the fill operation across up to 200 records.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-sample-recovery-explicit-missing-value-fill-7a6315a7/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)