# Data Ingestion Batches — Numeric Row Ordering + Date by Category Pivot

> Data Ingestion Batches — Numeric Row Ordering + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Produces two analytical reports for data ingestion batch records: a numeric row ordering and a date-by-category pivot, for up to 200 rows of received/accepted row counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-122?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-numeric-row-ordering-date-by-category-pivot-a07102d6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u1NqDoFHqM8uJD9SaPLH_

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-numeric-row-ordering-date-by-category-pivot-a07102d6 -d '<json body>'
```

Example prompt: I have ingestion batch records with received_rows and accepted_rows across multiple dataset groups and dates — can you rank the rows numerically by received_rows and also give me a date-by-category pivot for those same records? Here's the data: row-1 on 2026-10-01 for group-a had 10 received and 1 accepted, row-2 on 2026-10-02 for group-b had 20 received and 2 accepted.

## When to prefer this

Choose this endpoint when you need both a ranked ordering and a date-by-category pivot for data ingestion batch records (received_rows, accepted_rows) in a single low-cost call. It is ideal for ETL pipeline monitoring, data quality audits, and batch acceptance analysis where all data is supplied by the caller and no external data sources or predictions are needed. It covers up to 200 rows per call for $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200 rows per call
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields: row_id, dataset_group, date, received_rows, or accepted_rows
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value (must be 'received_rows' or 'accepted_rows')
- Payment not completed — endpoint requires 0.01 USDC via x402 protocol

## How this service works

Data ingestion batches — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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

Two analytical reports delivered together: (1) a numeric row ordering of the supplied ingestion batch records ranked by the chosen field (received_rows or accepted_rows), and (2) a date-by-category pivot table showing values broken down by date and dataset_group. Both reports operate entirely 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",
     "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-numeric-row-ordering-date-by-category-pivot-a07102d6/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)