# Onboarding Progress — Record Quality Audit + String Normalisation + Adjacent Row Changes

> Onboarding Progress — Record Quality Audit + String Normalisation + 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).

Audits data quality, normalises strings, and detects adjacent row changes in onboarding progress records (completed_steps, required_steps) for up to 200 rows, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-200?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-record-quality-audit-string-normalisation-3099f9fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6DtO4QoIY7YazqhBKEgyH

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-record-quality-audit-string-normalisation-3099f9fe -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and adjacent row change detection on these onboarding progress records for teams group-a and group-b covering October 2026 — I want to check the completed_steps field across all 4 rows?

## When to prefer this

Choose this endpoint when you need a bundled, cost-effective batch analysis of onboarding progress data covering quality auditing, string normalisation, and sequential row change detection in a single call. It is ideal for preprocessing raw onboarding exports before loading into dashboards or pipelines, and when you want all three reports for one flat fee without needing live lookups, predictions, or external integrations.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, completed_steps, required_steps) causes rejection
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range trigger schema validation errors
- Empty rows array returns an error

## How this service works

Onboarding progress — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied onboarding progress records (completed_steps, required_steps). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields; (2) a string normalisation report identifying and standardising inconsistent team_group strings; and (3) an adjacent row changes report showing where the selected field (completed_steps or required_steps) changed between consecutive rows. All computed locally from the supplied 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-record-quality-audit-string-normalisation-3099f9fe/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)