# Data Ingestion Batches — Record Quality Audit & Numeric Row Ordering

> Data Ingestion Batches — Record Quality Audit & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Audits record quality and provides numeric row ordering for data ingestion batch records containing received_rows and accepted_rows fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-record-quality-audit-numeric-row-ordering-9e9171ad
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OiH9KtWdQeoxx4Cnyx01e

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-record-quality-audit-numeric-row-ordering-9e9171ad -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric row ordering on my ingestion batch data — I have rows from October 2026 for dataset groups 'group-a' and 'group-b' with received_rows and accepted_rows counts, and I want to analyze the accepted_rows field across up to 200 records?

## When to prefer this

Choose this endpoint when you need both a data quality audit and numeric ordering of ingestion batch records in a single $0.01 call. Ideal for data engineers monitoring ETL pipeline health who want acceptance rate analysis and row ranking without making external API calls or predictions. Best suited for batch sizes up to 200 rows where self-contained, local analytical reporting is sufficient.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'received_rows' or 'accepted_rows' — enum validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
- Empty rows array — minItems violation

## How this service works

Data ingestion batches — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied data ingestion batches records (received_rows, accepted_rows). 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 assessing the quality of the supplied ingestion batch records based on received_rows and accepted_rows values, and (2) a numeric row ordering report ranking the rows by the selected field (received_rows or accepted_rows). Both reports are generated from the supplied data using local analytical engines 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-record-quality-audit-numeric-row-ordering-9e9171ad/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)