# Transformation Throughput Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report

> Transformation Throughput Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three local analytical reports (record quality audit, string normalisation, and duplicate key detection) on supplied transformation throughput records containing processed_rows and duration_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-string-aa997fc5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pVarBMrOjC-JLfLgCnnZa

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 transformation-throughput-analytics-record-quality-audit-string-aa997fc5 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and duplicate key report on my transformation throughput data — here are 4 rows: row-1 for group-a on 2026-10-01 with 10 processed rows over 1 second, row-2 for group-b on 2026-10-02 with 20 rows over 2 seconds, row-3 for group-a on 2026-10-03 with 15 rows over 3 seconds, and row-4 for group-b on 2026-10-04 with 30 rows over 4 seconds?

## When to prefer this

Choose this endpoint when you need three simultaneous analytical reports — quality audit, string normalisation, and duplicate key detection — on transformation throughput records (processed_rows, duration_seconds) in a single low-cost call. It is ideal for data engineering pipelines where ETL batch metrics need to be validated offline without any external lookups or live data fetching. Prefer it over separate single-report endpoints when all three analyses are needed together for up to 200 rows at $0.01 USDC.

## Known failure modes

- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause row-level validation failures
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null numeric values are accepted but flagged in quality audit output
- Empty rows array (minItems:1 not met) returns a schema validation error

## How this service works

Transformation throughput — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied transformation throughput records (processed_rows, duration_seconds). 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 supplied rows; (2) a string normalisation report identifying and correcting inconsistencies in text fields such as dataset_group; and (3) a duplicate key report flagging row_id or composite key collisions across the submitted records. All analysis is performed locally using shared analytical engines on up to 200 rows per call.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-string-aa997fc5/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)