# Transformation Throughput — Record Quality Audit + Adjacent Row Changes

> Transformation Throughput — Record Quality Audit + Adjacent Row Changes 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 detects adjacent row changes in transformation throughput data (processed_rows, duration_seconds) for up to 200 supplied rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-011?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-adjacent-row-changes-fe398878
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FJgp8zJmjOfIcNrUkmmvn

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-adjacent-row-changes-fe398878 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change analysis on these transformation throughput logs — I have up to 50 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and focus the analysis on the processed_rows field?

## When to prefer this

Choose this endpoint when you need dual analytical reports — record quality auditing combined with adjacent row change detection — on transformation throughput data without any external data lookups or predictions. Ideal for data engineers auditing ETL pipeline logs, batch processing records, or data transformation run histories where you supply all data locally and need structured quality and change reports at low cost ($0.01 for both reports).

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Non-numeric values in processed_rows or duration_seconds — type error
- Empty rows array — minimum 1 item required
- Payment not included or insufficient — x402 payment required error

## How this service works

Transformation throughput — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 highlighting data issues, missing values, or inconsistencies in the supplied transformation throughput rows; and (2) an adjacent row changes report showing where consecutive rows differ significantly in the selected metric (processed_rows or duration_seconds). All analysis is performed 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-record-quality-audit-adjacent-row-changes-fe398878/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)