# Transformation Throughput Analytics: Quality Audit + Deduplication + Numeric Ordering

> Transformation Throughput Analytics: Quality Audit + Deduplication + Numeric Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Runs three local analytical reports on transformation throughput records (processed_rows, duration_seconds): record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-213?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-quality-audit-deduplication-c8c45c01
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VXUa3L6WC4d-g28KOXQSD

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-quality-audit-deduplication-c8c45c01 -d '<json body>'
```

Example prompt: Can you audit the quality of my transformation throughput records, remove exact duplicates, and sort them by processed_rows? Here are my rows: row-1 on 2026-10-01 for group-a with 10 processed_rows and 1 duration_seconds, row-2 on 2026-10-02 for group-b with 20 processed_rows and 2 duration_seconds — use processed_rows as the ordering field.

## When to prefer this

Choose this endpoint when you need three bundled local analytical operations on transformation throughput data (quality audit + deduplication + numeric ordering) in a single low-cost call. It is ideal for data engineering pipelines where you want to validate, clean, and rank processed_rows or duration_seconds records without hitting external APIs or incurring live lookup costs. Prefer it over general-purpose analytics when your data fits within 200 rows and involves the specific throughput schema (row_id, dataset_group, date, processed_rows, duration_seconds).

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) in one or more rows
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value — must be 'processed_rows' or 'duration_seconds'
- Numeric values outside the allowed range (-1e12 to 1e12) rejected
- Malformed JSON body returns validation error

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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 on the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values in processed_rows and duration_seconds; (2) an exact row deduplication report identifying and removing duplicate records; (3) a numeric ordering of the rows ranked by the specified field (processed_rows or duration_seconds). All analysis is performed locally 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-quality-audit-deduplication-c8c45c01/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)