# Data Ingestion Batches — Grouped Numeric Summary + Date by Category Pivot

> Data Ingestion Batches — Grouped Numeric Summary + 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 2026-10-18).

Generates two local analytical reports for data ingestion batch records: a grouped numeric summary and a date-by-category pivot for received_rows or accepted_rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-097?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-grouped-numeric-summary-date-by-category-pivot-f5bf7171
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cp_ExLUMx5i_vgJlvDnc9

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-grouped-numeric-summary-date-by-category-pivot-f5bf7171 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and a date-by-category pivot on these data ingestion batch records — I have 8 rows with dataset groups 'pipeline-a' and 'pipeline-b', and I want to analyze the received_rows field?

## When to prefer this

Choose this endpoint when you need fast, local analytics on data ingestion batch records without any external data lookup or live pipeline access. It is ideal for generating two complementary views — a grouped numeric summary plus a date-by-category pivot — on up to 200 rows of ingestion data in a single low-cost call. Prefer it over general-purpose analytics tools when your data is already structured with dataset_group and date dimensions and you want deterministic, reproducible batch reports.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1 trillion) — validation error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema error
- Invalid field enum value (not 'received_rows' or 'accepted_rows') — rejected

## How this service works

Data ingestion batches — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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

Returns two independent analytical reports computed locally: (1) a grouped numeric summary of the chosen metric (received_rows or accepted_rows) across dataset groups, and (2) a date-by-category pivot table showing values broken down by date and dataset_group. Up to 200 rows processed per call.

## 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-grouped-numeric-summary-date-by-category-pivot-f5bf7171/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)