# Data Ingestion Batches — Numeric Distribution & Row Ordering Analytics

> Data Ingestion Batches — Numeric Distribution & Row Ordering Analytics 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).

Analyzes up to 200 data ingestion batch records by computing numeric distribution statistics and row ordering reports for received_rows and accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-073?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-row-ordering-analytics-46e5b8e6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q1Ktafpxe_L58mhrLs9wN

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-row-ordering-analytics-46e5b8e6 -d '<json body>'
```

Example prompt: Can you analyze the numeric distribution and row ordering of my data ingestion batches? I have records for received_rows across dataset groups A and B from October 2026 — here are up to 200 rows with row_id, date, dataset_group, received_rows, and accepted_rows fields.

## When to prefer this

Choose this endpoint when you have structured data ingestion batch records (up to 200 rows) and need both a statistical distribution view and a ranked ordering of records for either received_rows or accepted_rows — particularly useful for ETL pipeline monitoring, data quality audits, and batch throughput analysis. It delivers two reports for $0.01 USDC using local analytical engines with no external dependencies.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null values in the selected numeric field may affect distribution calculations
- Invalid field enum value (anything other than received_rows or accepted_rows) causes rejection
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Data ingestion batches — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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 numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (received_rows or accepted_rows), and (2) a numeric row ordering report ranking the supplied records by that field — all computed locally without external lookups, for up to 200 input rows.

## 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-row-ordering-analytics-46e5b8e6/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)