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

> Onboarding Progress Analytics — Numeric Row Ordering & 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 2026-11-02).

Computes numeric row ordering and secondary-measure weighted mean for onboarding progress records (completed_steps, required_steps) across up to 200 rows, delivering two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-121?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onboarding-progress-analytics-numeric-row-ordering-secondary-measure-e160e6d5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_G4R4QM93qN53tR_3SpRfX

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-row-ordering-secondary-measure-e160e6d5 -d '<json body>'
```

Example prompt: Rank these onboarding progress rows numerically and compute a weighted mean on completed_steps for my four records: row-1 (group-a, 2026-10-01, completed=10, required=1), row-2 (group-b, 2026-10-02, completed=20, required=2), row-3 (group-a, 2026-10-03, completed=15, required=3), row-4 (group-b, 2026-10-04, completed=30, required=4).

## When to prefer this

Choose this endpoint when you need both a numeric ordering and a weighted mean report on onboarding progress data (completed_steps, required_steps) in a single low-cost call. It is ideal for batch analytical processing of up to 200 onboarding records without requiring external data sources, live lookups, or prediction services. Prefer this over generic analytics tools when you specifically need these two combined analytical outputs — row ranking and weighted mean — for HR onboarding metrics.

## Known failure modes

- Row count exceeds 200-item limit — request rejected
- Missing required fields (row_id, date, completed_steps, required_steps) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value (must be completed_steps or required_steps) — rejected

## How this service works

Onboarding progress — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 per call: (1) a numeric row ordering of the supplied onboarding records and (2) a secondary-measure weighted mean computed over the chosen field (completed_steps or required_steps), all derived locally from the submitted data with no external lookups.

## 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-row-ordering-secondary-measure-e160e6d5/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)