# Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes

> Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + 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 2026-10-28).

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

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-217?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-record-quality-audit-exact-row-38ea4e69
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_w9zod_40Cd2cAwzUtfRhg

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-record-quality-audit-exact-row-38ea4e69 -d '<json body>'
```

Example prompt: Can you run a quality audit, exact deduplication check, and adjacent row change detection on my transformation throughput records? I have rows with fields like date, dataset_group, processed_rows, and duration_seconds — here's my dataset of about 50 rows, and I want the field analyzed to be processed_rows.

## When to prefer this

Choose this endpoint when you need three combined local analytical operations on transformation throughput data in a single call: quality auditing, deduplication, and adjacent change detection. It is ideal for data engineers who want fast, offline analysis of pipeline metrics without requiring external lookups or live data connections. Prefer it over separate single-report endpoints when you need all three reports at once for up to 200 rows at minimal cost ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) in any row causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') causes error
- Empty rows array (minItems: 1 not met) causes rejection

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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

Three independent analytical reports: (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 fully duplicate rows; (3) an adjacent row changes report highlighting value differences between consecutive rows for the selected field.

## 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-record-quality-audit-exact-row-38ea4e69/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)