# Training Assessments Data Quality Suite — Record Audit, String Normalisation & Exact Deduplication

> Training Assessments Data Quality Suite — Record Audit, String Normalisation & Exact Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs three local analytical reports on training assessment records (pre_score, post_score): a record quality audit, string normalisation, and exact row deduplication — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-11-191?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-assessments-data-quality-suite-record-audit-string-fffe90af
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MSpRjiNOBO7MpKLuLhCGQ

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 training-assessments-data-quality-suite-record-audit-string-fffe90af -d '<json body>'
```

Example prompt: Can you run a full data quality check on these training assessment records — audit for quality issues, normalise the strings, and remove exact duplicate rows? I have up to 50 rows with row_id, course_group, date, pre_score, and post_score fields.

## When to prefer this

Choose this endpoint when you need three bundled data-quality operations (quality audit, string normalisation, exact deduplication) on training assessment records in a single low-cost call. It is best suited for pre-processing education or HR training data (pre_score/post_score) before downstream analysis, when you have up to 200 rows and want a quick, local, no-external-lookup quality pass without building custom cleaning pipelines.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, course_group, date, pre_score, or post_score) — validation error returned
- Date field not in YYYY-MM-DD format — pattern validation failure
- row_id is empty or exceeds 80 characters — schema rejection
- Empty rows array submitted — minItems constraint violation
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Training assessments — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied training assessments records (pre_score, post_score). 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

Three independent analytical reports: (1) a record quality audit highlighting missing, null, or out-of-range values in the training assessment rows; (2) a string normalisation report showing standardised versions of text fields like course_group; and (3) an exact row deduplication report identifying and removing fully identical rows — all computed locally against the supplied data, no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "course_group",
     "date",
     "pre_score",
     "post_score"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "pre_score": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "post_score": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "pre_score": 10,
     "post_score": 1,
     "course_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "pre_score": 20,
     "post_score": 2,
     "course_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "pre_score": 15,
     "post_score": 3,
     "course_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "pre_score": 30,
     "post_score": 4,
     "course_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-assessments-data-quality-suite-record-audit-string-fffe90af/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)