# Data Ingestion Batches — Grouped Numeric Summary + Adjacent Row Changes

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

Analyzes data ingestion batch records to produce a grouped numeric summary and adjacent row change report for received_rows or accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-091?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-adjacent-row-changes-d8c0151a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uu66iGk4jG4JVzxIOtm1n

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-adjacent-row-changes-d8c0151a -d '<json body>'
```

Example prompt: Can you run two reports on my ingestion batch data — a grouped numeric summary and adjacent row changes — for the received_rows field? I have records for groups like 'group-a' and 'group-b' across dates in October 2026.

## When to prefer this

Choose this endpoint when you have up to 200 data ingestion batch records and need both a grouped statistical summary by dataset_group and a consecutive-row change analysis on either received_rows or accepted_rows — all in a single low-cost call. It is ideal for lightweight, offline analytics on supplied data without requiring an external database or live data source. Prefer it over general-purpose analytics tools when cost predictability ($0.01 USDC flat for both reports) and simplicity matter.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (anything other than 'received_rows' or 'accepted_rows') causes failure

## How this service works

Data ingestion batches — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 grouped numeric summary aggregating received_rows or accepted_rows by dataset_group (e.g. count, min, max, mean, sum per group), and (2) an adjacent row changes report showing the delta between consecutive rows for the chosen metric. Covers up to 200 input rows. No external lookups or predictions are made.

## 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-adjacent-row-changes-d8c0151a/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)