# Data Ingestion Batches — Numeric Distribution + Numeric Interval Filter

> Data Ingestion Batches — Numeric Distribution + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).

Computes numeric distribution statistics and applies a numeric interval filter on received_rows and accepted_rows fields across up to 200 data ingestion batch records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-074?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-numeric-distribution-numeric-interval-filter-93e9a4bb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m1Q43lrcL-8yugv7sRCtg

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-numeric-interval-filter-93e9a4bb -d '<json body>'
```

Example prompt: Can you analyze the numeric distribution of received_rows and also filter to rows where received_rows is between 10 and 500 for these ingestion batch records: row-1 on 2026-10-01 for group-a with 10 received and 1 accepted, row-2 on 2026-10-02 for group-b with 20 received and 2 accepted?

## When to prefer this

Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric distribution summary and an interval-based filter on received_rows or accepted_rows in a single $0.01 call. Ideal for lightweight ETL pipeline monitoring, data quality spot-checks, and volume anomaly investigation without needing a full analytics platform. Not suitable for more than 200 rows, live streaming data, or analyses requiring more than two report types.

## Known failure modes

- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, date, received_rows, accepted_rows) cause validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Minimum value greater than maximum value may produce empty interval filter results
- Null numeric values for the selected field may be excluded from distribution calculations
- Payment failure (x402) blocks access to the endpoint

## How this service works

Data ingestion batches — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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 derived from the submitted batch rows: (1) a numeric distribution breakdown of the selected field (received_rows or accepted_rows), showing how values are spread across the dataset; and (2) a numeric interval filter listing which rows fall within the specified minimum–maximum range. Results are computed locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-numeric-distribution-numeric-interval-filter-93e9a4bb/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)