# Onboarding Progress String Normalisation and Adjacent Row Changes

> Onboarding Progress String Normalisation and Adjacent Row Changes 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).

Runs two local analytical reports — string normalisation and adjacent row changes — on up to 200 onboarding progress records (completed_steps or required_steps).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-029?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-string-normalisation-and-adjacent-row-changes-972a19d1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hNWx41p2jrvrPUG4dYO8Y

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-string-normalisation-and-adjacent-row-changes-972a19d1 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row change analysis on our onboarding progress data? I have 4 rows — row-1 on 2026-10-01 for group-a with completed_steps 10 and required_steps 1, row-2 on 2026-10-02 for group-b with completed_steps 20 and required_steps 2, and so on — analyse the completed_steps field.

## When to prefer this

Choose this endpoint when you need fast, offline (no external lookup) analytical reports on onboarding progress tabular data — specifically string normalisation and adjacent row change detection — for batches up to 200 rows. It is cost-effective at $0.01 USDC for both reports together. Prefer alternatives if you need live data enrichment, predictive analytics, or more than 200 rows processed in one call.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, team_group, date, completed_steps, required_steps) — rejection
- Field selector not in enum ['completed_steps','required_steps'] — invalid input error
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure

## How this service works

Onboarding progress — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 derived from the supplied onboarding progress rows: (1) a string normalisation report cleaning and standardising text fields, and (2) an adjacent row changes report highlighting value differences between consecutive rows for the selected field (completed_steps or required_steps). Both reports are generated locally 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-string-normalisation-and-adjacent-row-changes-972a19d1/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)