# Transformation Throughput — Record Quality Audit + Numeric Interval Filter

> Transformation Throughput — Record Quality Audit + 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 2026-10-19).

Audits record quality and applies a numeric interval filter to transformation throughput data (processed_rows, duration_seconds) for up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-008?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-record-quality-audit-numeric-interval-filter-59f3a4fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pZPmYb--4du3e_A5w5tQd

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-numeric-interval-filter-59f3a4fb -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric interval filter on my transformation throughput data? I have 50 rows with processed_rows and duration_seconds fields — filter on processed_rows between 100 and 50000 and flag any quality issues across my dataset_group values.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a numeric range filter on transformation throughput records (processed_rows and/or duration_seconds) in a single call for up to 200 rows. It is ideal for data engineers validating ETL pipeline outputs, QA workflows checking batch job metrics, or any scenario where you want two complementary analytical views — quality flags plus interval-bounded filtering — on the same dataset without external dependencies or live lookups.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — filter may return empty set or error
- All null values for the filtered field — interval filter report may be empty
- Payment not processed — endpoint returns 402 Payment Required

## How this service works

Transformation throughput — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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 record quality audit identifying data quality issues such as nulls, out-of-range values, or malformed entries across the submitted rows, and (2) a numeric interval filter report listing which rows have the specified field (processed_rows or duration_seconds) within the defined minimum–maximum range. No external lookups or predictions are performed; all analysis is done on the supplied data.

## 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-numeric-interval-filter-59f3a4fb/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)