# Product Feature Telemetry – Explicit Missing-Value Fill

> Product Feature Telemetry – 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 2026-10-16).

Fills missing numeric values (events or unique_users) in product feature telemetry records using zero, mean, or median imputation, returning a bounded local analytics report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/product-feature-telemetry-explicit-missing-value-fill-f565c280
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fXupPZGry02J2biRcC3A0

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 product-feature-telemetry-explicit-missing-value-fill-f565c280 -d '<json body>'
```

Example prompt: I have product feature telemetry rows with some null events values — can you fill those missing values using median imputation across up to 200 records grouped by feature name and date?

## When to prefer this

Choose this endpoint when you need fast, local imputation of missing numeric values in product feature telemetry data (up to 200 rows) using simple statistical methods (zero, mean, or median) without any external data enrichment or forecasting. It is ideal for lightweight data-cleaning steps prior to analytics or reporting pipelines where cost, speed, and determinism matter.

## Known failure modes

- Rows array is empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) in any row — schema rejection
- Unknown field value (not 'events' or 'unique_users') — enum validation error
- Unknown method value (not 'zero', 'mean', 'median') — enum validation error
- Missing required fields (row_id, feature, date) in any row — schema error
- Payment of 0.01 USDC not provided — x402 payment required response

## How this service works

Product feature telemetry - Explicit missing-value fill: Explicit missing-value fill for Product feature telemetry. 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

Returns a bounded missing-value fill report containing the processed telemetry rows with null values replaced according to the chosen method (zero, mean, or median), along with local descriptive analytics for the filled dataset. No external enrichment or forecasting is included.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-feature-telemetry-explicit-missing-value-fill-f565c280/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)