# Onboarding Progress Analytics — Numeric Distribution & Secondary-Measure Weighted Mean

> Onboarding Progress Analytics — Numeric Distribution & Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes a numeric distribution and a secondary-measure weighted mean for onboarding progress records (completed_steps and required_steps) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onboarding-progress-analytics-numeric-distribution-secondary-measure-78abd8f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uDQOdRfAsTKRCMhEyzAO7

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-numeric-distribution-secondary-measure-78abd8f9 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and secondary-measure weighted mean analysis on our onboarding progress data? I have records for team-a and team-b from October 2026 with completed_steps as the primary field — up to 50 rows total.

## When to prefer this

Choose this endpoint when you need both a numeric distribution and a weighted mean computed together on onboarding progress data (completed_steps / required_steps) in a single API call at low cost. It is ideal for HR analytics agents working with batch onboarding records up to 200 rows who want two distinct statistical views without external data enrichment or live lookups.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, completed_steps, required_steps) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Null or out-of-range numeric values may be excluded from statistical computation
- Insufficient non-null values may produce degenerate distribution output

## How this service works

Onboarding progress — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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

Two analytical reports: (1) a numeric distribution summarizing the spread of the selected field (completed_steps or required_steps) across all submitted rows, and (2) a secondary-measure weighted mean that weights one field by the other. Both reports are computed locally on the supplied data without any external lookup.

## 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-numeric-distribution-secondary-measure-78abd8f9/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)