# Product Feature Telemetry – Date by Category Pivot

> Product Feature Telemetry – Date by Category Pivot 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).

Pivots up to 200 product feature telemetry records by date and category, producing a local descriptive analytics report of events or unique users per feature over time.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-pivot?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-date-by-category-pivot-88342ae5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yudYU2tJRVy1ji62hXltX

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-date-by-category-pivot-88342ae5 -d '<json body>'
```

Example prompt: I have daily telemetry rows for my product features — feature names like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and event counts — can you pivot them by date and category and give me a summary report using the 'events' field?

## When to prefer this

Choose this endpoint when you have raw, flat telemetry rows for product features and need a quick descriptive pivot table by date and category — without needing forecasting, enrichment, or external data. Best for local analytics on up to 200 records where the goal is cross-tabulating events or unique users across features and dates.

## Known failure modes

- Missing required fields (row_id, feature, date, events, unique_users) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid field enum value (anything other than 'events' or 'unique_users') causes a schema error
- Empty rows array (minItems: 1 violation) returns an error
- Numeric values outside the allowed min/max range are rejected

## How this service works

Product feature telemetry - Date by category pivot: Date by category pivot 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 date by category pivot report.

## Output

A date-by-category pivot report where rows represent dates and columns represent feature categories, with aggregated values (events or unique_users) for each cell — delivered as a bounded, local descriptive analytics output with no forecasting or external enrichment.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-feature-telemetry-date-by-category-pivot-88342ae5/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)