# Transformation Throughput — String Normalisation + Duplicate Key Report

> Transformation Throughput — 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 2026-10-15).

Normalises strings and generates a duplicate key report for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-021?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-string-normalisation-duplicate-key-report-5ccddb4a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kK-RG6nkwOQebMfcbnucf

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-string-normalisation-duplicate-key-report-5ccddb4a -d '<json body>'
```

Example prompt: Can you normalise the string fields and generate a duplicate key report for my transformation throughput data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 processed rows in 1 second, row-2 for group-b on 2026-10-02 with 20 processed rows in 2 seconds, row-3 for group-a on 2026-10-03 with 15 processed rows in 3 seconds, and row-4 for group-b on 2026-10-04 with 30 processed rows in 4 seconds.

## When to prefer this

Choose this endpoint when you need both 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, ETL audit workflows, or pre-load data quality checks where you want two reports for the price of one call on up to 200 rows, without needing live lookups or external enrichment.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Submitting zero rows (minItems: 1 violated) returns an error
- Extremely large numeric values outside ±1,000,000,000,000 are rejected

## How this service works

Transformation throughput — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a string normalisation report showing cleaned/standardised string field values across the supplied rows, and (2) a duplicate key report identifying any row_id or key fields that appear more than once — 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",
     "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-string-normalisation-duplicate-key-report-5ccddb4a/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)