# Transformation Throughput — Record Quality Audit + String Normalisation + Numeric Interval Filter

> Transformation Throughput — Record Quality Audit + String Normalisation + Numeric Interval Filter 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).

Audits data quality, normalises strings, and filters by numeric interval for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows in three bundled reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-197?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-record-quality-audit-string-normalisation-04a88f25
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_arG-PIJuHDr6q-1YqChe4

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-record-quality-audit-string-normalisation-04a88f25 -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the dataset group strings, and filter to only rows where processed_rows is between 0 and 500 for this set of transformation throughput records: [{"row_id":"run-1","dataset_group":"group-a","date":"2026-10-01","processed_rows":120,"duration_seconds":5},{"row_id":"run-2","dataset_group":" Group-B ","date":"2026-10-02","processed_rows":750,"duration_seconds":10}]?

## When to prefer this

Choose this endpoint when you need a bundled, cost-effective single call (0.01 USDC) that simultaneously covers data quality auditing, string normalisation, and numeric range filtering for transformation throughput records. It is ideal for ETL pipeline validation workflows where all three operations are needed together on the same dataset of up to 200 rows, and no external data sources or predictions are required.

## Known failure modes

- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds the item limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Minimum value greater than maximum value may produce empty filter results
- Null or missing row_id fails the required field check
- Field enum value outside 'processed_rows' or 'duration_seconds' is rejected

## How this service works

Transformation throughput — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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

Returns three independent analytical reports: (1) a record quality audit flagging nulls, missing fields, and anomalies; (2) a string normalisation report for the dataset_group field; and (3) a numeric interval filter report identifying which rows fall within the specified minimum–maximum range for the chosen field (processed_rows or duration_seconds). All reports are computed locally on 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
  },
  "field": {
   "enum": [
    "processed_rows",
    "duration_seconds"
   ],
   "type": "string",
   "default": "processed_rows"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-record-quality-audit-string-normalisation-04a88f25/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)