# Onboarding Progress Analyzer — Record Quality Audit + String Normalisation + Base-100 Series

> Onboarding Progress Analyzer — Record Quality Audit + String Normalisation + Base-100 Series 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 three local analytical reports on onboarding progress data: a record quality audit, string normalisation, and a base-100 indexed time series for completed_steps or required_steps.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-201?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-analyzer-record-quality-audit-string-628eafe2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p_TqeGTLEeGQMSksMwQkU

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-analyzer-record-quality-audit-string-628eafe2 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and base-100 series on my onboarding progress data for these 10 rows — I want to analyse completed_steps indexed from row 0?

## When to prefer this

Choose this endpoint when you need three analytical passes — quality audit, string normalisation, and base-100 series — on onboarding progress data in a single $0.01 call. It is ideal for batch validation and indexing of up to 200 rows without any external API calls, predictions, or live lookups. Prefer it over general-purpose data tools when the input is structured onboarding records with completed_steps and required_steps fields and you need all three reports together cost-efficiently.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, completed_steps, required_steps) causes row-level audit failures
- Invalid date format (not YYYY-MM-DD) may be flagged in quality audit
- base_index out of range (>199 or >= number of rows) may cause series errors
- Null values in numeric fields are accepted but flagged in audit report
- Payment not received causes HTTP 402 rejection before processing

## How this service works

Onboarding progress — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report cleaning and standardising team_group and other string fields; (3) a base-100 indexed series for the selected numeric field (completed_steps or required_steps) anchored at the specified base_index row. All computed 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/onboarding-progress-analyzer-record-quality-audit-string-628eafe2/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)