# Onboarding Progress — Adjacent Row Changes + Two-Measure Correlation

> Onboarding Progress — Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).

Analyzes onboarding progress records by computing adjacent row changes and a two-measure correlation between completed_steps and required_steps, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onboarding-progress-adjacent-row-changes-two-measure-correlation-ab05fbfa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_if4UGfJGiwXEC-3zdAykS

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-adjacent-row-changes-two-measure-correlation-ab05fbfa -d '<json body>'
```

Example prompt: Analyze my onboarding progress data — I have rows with completed_steps and required_steps for different team groups across dates in October 2026 — and give me both the adjacent row changes and the two-measure correlation between those two metrics.

## When to prefer this

Choose this endpoint when you have onboarding progress records with completed_steps and required_steps and need both sequential row-difference analysis and a cross-measure correlation in a single API call. It is ideal for batch offline analysis of up to 200 onboarding records where no live data lookup or prediction is needed, and cost efficiency matters (two reports for $0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, completed_steps, required_steps) cause validation errors
- Date strings not matching YYYY-MM-DD pattern result in schema rejection
- Null values in both numeric fields may reduce correlation reliability
- Empty rows array (minItems:1 violated) causes rejection
- Invalid field enum value causes input schema error

## How this service works

Onboarding progress — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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 analytical reports: (1) adjacent row changes showing the delta in the selected field (completed_steps or required_steps) between consecutive rows, and (2) a two-measure correlation report quantifying the statistical relationship between completed_steps and required_steps across all supplied rows. Both reports are computed locally on the submitted data without any 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-adjacent-row-changes-two-measure-correlation-ab05fbfa/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)