# Onboarding Progress Analytics: Weighted Mean + Date-Category Pivot

> Onboarding Progress Analytics: Weighted Mean + Date-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 2026-10-22).

Computes a secondary-measure weighted mean and a date-by-category pivot report for onboarding progress data (completed_steps, required_steps) over up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-185?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onboarding-progress-analytics-weighted-mean-date-category-pivot-70c0d249
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z4LkOk3W6jOGh79XUy5g9

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 onboarding-progress-analytics-weighted-mean-date-category-pivot-70c0d249 -d '<json body>'
```

Example prompt: I have onboarding records for two team groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, completed_steps values like 10, 20, 15, 30, and required_steps of 1, 2, 3, 4. Can you run both the weighted mean and the date-by-category pivot on the completed_steps field for me?

## When to prefer this

Choose this endpoint when you have onboarding progress records (up to 200 rows) with completed_steps and required_steps and need both a weighted mean and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer this over general-purpose analytics platforms when you want a lightweight, deterministic, no-external-lookup computation on your own supplied data without sending it to a large data warehouse.

## Known failure modes

- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, team_group, date, completed_steps, required_steps) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in measure fields may affect weighted mean calculation
- Submitting fewer than 1 row causes schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected

## How this service works

Onboarding progress — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot for supplied onboarding progress records (completed_steps, required_steps). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports derived from the supplied onboarding rows: (1) a secondary-measure weighted mean of the selected field (completed_steps or required_steps), and (2) a date-by-category pivot table cross-tabulating the selected measure by date and team_group. No external data sources are consulted; all computation is performed locally on the provided rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/onboarding-progress-analytics-weighted-mean-date-category-pivot-70c0d249/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)