# Data Ingestion Batches — Numeric Distribution + Grouped Numeric Summary

> Data Ingestion Batches — Numeric Distribution + Grouped Numeric Summary 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).

Generates two analytical reports (numeric distribution and grouped numeric summary) for data ingestion batch records covering received_rows and accepted_rows fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-071?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-numeric-distribution-grouped-numeric-summary-9f34e039
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3LzH-gE4_UFsOAxh5ahBf

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-distribution-grouped-numeric-summary-9f34e039 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and grouped summary report on my data ingestion batches? I have records with received_rows and accepted_rows across groups like 'group-a' and 'group-b' from October 2026 — analyze the received_rows field.

## When to prefer this

Choose this endpoint when you have structured data ingestion batch records (with received_rows and accepted_rows metrics) and need both a distribution profile and a grouped breakdown in a single API call for up to 200 rows. Ideal for ETL monitoring, data pipeline audits, and ingestion quality reviews where you want two complementary statistical perspectives simultaneously without building custom analytics.

## Known failure modes

- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems validation failure
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema validation error
- Invalid date format (must match YYYY-MM-DD pattern) — pattern validation failure
- Field selector not one of 'received_rows' or 'accepted_rows' — enum validation error
- Null numeric values may reduce statistical accuracy for that row

## How this service works

Data ingestion batches — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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: (1) a numeric distribution of the selected field (received_rows or accepted_rows) across all supplied rows, including quantiles and spread metrics; (2) a grouped numeric summary breaking down the same field by dataset_group, showing per-group aggregates. Both reports are computed locally from 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-distribution-grouped-numeric-summary-9f34e039/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)