# Data Ingestion Batches Analytics: Grouped Numeric Summary + Daily Sum Series

> Data Ingestion Batches Analytics: Grouped Numeric Summary + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes a grouped numeric summary and a daily sum time series for up to 200 data ingestion batch records, reporting on received_rows and accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-089?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-analytics-grouped-numeric-summary-daily-sum-8fd2a441
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rzoFdgkD2IvbkoSiPLO99

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-analytics-grouped-numeric-summary-daily-sum-8fd2a441 -d '<json body>'
```

Example prompt: Can you analyze my data ingestion batch records and give me both a grouped numeric summary and a daily sum series for received_rows? Here are the batches: group-a had 10 received and 1 accepted on 2026-10-01, group-b had 20 received and 2 accepted on 2026-10-02, group-a had 15 received and 3 accepted on 2026-10-03, and group-b had 30 received and 4 accepted on 2026-10-04.

## When to prefer this

Choose this endpoint when you need both a grouped breakdown and a daily time series for data ingestion batch metrics (received_rows, accepted_rows) in a single cheap call ($0.01 USDC). It is ideal for lightweight pipeline monitoring, ETL auditing, or reporting tasks where you already have the batch records locally and want quick aggregated insights without setting up your own analytics stack. Prefer this over generic analytics services when working with the specific ingestion batch schema (dataset_group, received_rows, accepted_rows, date).

## Known failure modes

- Input array is empty (minItems:1 violated) — validation error
- More than 200 rows submitted — request rejected (maxItems:200)
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row — schema validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Invalid field enum value (must be 'received_rows' or 'accepted_rows') — error response
- Payment not attached or insufficient — 402 Payment Required

## How this service works

Data ingestion batches — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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 analytical reports: (1) a grouped numeric summary (statistics such as totals, averages, counts broken down by dataset_group) and (2) a daily sum time series (per-date totals) for the chosen field (received_rows or accepted_rows), computed locally against the supplied batch records — up to 200 rows 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-analytics-grouped-numeric-summary-daily-sum-8fd2a441/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)