# Data Ingestion Batches — Quality Audit, Deduplication & Adjacent Row Changes

> Data Ingestion Batches — Quality Audit, 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 2026-10-21).

Runs three analytical reports on data ingestion batch records: record quality audit, exact row deduplication, and adjacent row change detection for received_rows or accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-217?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-quality-audit-deduplication-adjacent-row-changes-d7a093ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r6QSD5_dfV7WAwjcYX_Xy

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 data-ingestion-batches-quality-audit-deduplication-adjacent-row-changes-d7a093ec -d '<json body>'
```

Example prompt: Can you run the three-report quality analysis on my ingestion batch data — quality audit, exact deduplication, and adjacent row changes — for these rows across dataset groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04, checking the received_rows field?

## When to prefer this

Choose this endpoint when you need fast, self-contained analytical reports on data ingestion batch records without any external data lookups or live predictions. Ideal for ETL pipeline monitoring, batch QA workflows, or data engineering agents that need to check row quality, find duplicates, and detect sequential changes in a single cheap call covering up to 200 rows.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Invalid field selector — must be either 'received_rows' or 'accepted_rows'
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
- Payment failure — x402 payment of 0.01 USDC not processed

## How this service works

Data ingestion batches — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied data ingestion batches records (received_rows, accepted_rows). 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 issues in the supplied batch rows, (2) an exact row deduplication report identifying identical records, and (3) an adjacent row change report highlighting value differences between consecutive rows — all computed locally against the submitted 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",
     "received_rows",
     "accepted_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "accepted_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "received_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "accepted_rows": 1,
     "dataset_group": "group-a",
     "received_rows": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "accepted_rows": 2,
     "dataset_group": "group-b",
     "received_rows": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "accepted_rows": 3,
     "dataset_group": "group-a",
     "received_rows": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "accepted_rows": 4,
     "dataset_group": "group-b",
     "received_rows": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "received_rows",
    "accepted_rows"
   ],
   "type": "string",
   "default": "received_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-quality-audit-deduplication-adjacent-row-changes-d7a093ec/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)