# Training Assessments Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies

> Training Assessments Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies 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 analytical reports (record quality audit, string normalisation, and category frequencies) on training assessment records containing pre-score and post-score fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-11-195?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-analytics-record-audit-string-34902d47
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-XFrRKyYaEe9xGyaFAbRa

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-analytics-record-audit-string-34902d47 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and category frequency analysis on my training assessment data? I have 4 rows: row-1 on 2026-10-01 for group-a with pre_score 10 and post_score 1, row-2 on 2026-10-02 for group-b with pre_score 20 and post_score 2, row-3 on 2026-10-03 for group-a with pre_score 15 and post_score 3, and row-4 on 2026-10-04 for group-b with pre_score 30 and post_score 4.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 training assessment records with pre/post scores and want three data quality reports in a single low-cost call — record auditing, text normalisation, and category frequency analysis — without needing live predictions, external lookups, or professional scoring. Ideal for L&D teams, data engineers, or HR analysts who need to validate and summarise training data before downstream reporting.

## Known failure modes

- Empty rows array or fewer than 1 row returns a validation error
- More than 200 rows submitted exceeds the limit and will be rejected
- Missing required fields (row_id, course_group, date, pre_score, post_score) on any row may cause audit failures or partial results
- Date strings not matching YYYY-MM-DD pattern will be flagged or rejected
- pre_score or post_score values outside the allowed numeric range will be rejected
- Malformed JSON input body returns a 400-level error

## How this service works

Training assessments — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 structured analytical reports returned together: (1) a record quality audit flagging completeness, format issues, and anomalies across the supplied rows; (2) a string normalisation report showing standardised versions of text fields like course_group; and (3) a category frequency table counting occurrences of each course_group value across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.

## 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-analytics-record-audit-string-34902d47/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)