# Data Ingestion Batches — Numeric Interval Filter + Secondary-Measure Weighted Mean

> Data Ingestion Batches — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Filters data ingestion batch records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-132?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-numeric-interval-filter-secondary-measure-4b704fde
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0U26gndHUWCGDjkER4ZfN

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-interval-filter-secondary-measure-4b704fde -d '<json body>'
```

Example prompt: I have a list of data ingestion batch records with received_rows and accepted_rows — can you filter to only batches where received_rows is between 50 and 500, then compute the weighted mean of accepted_rows across those filtered records?

## When to prefer this

Choose this endpoint when you have up to 200 data ingestion batch records with received_rows and accepted_rows fields and need to (1) isolate records within a numeric range and (2) compute a weighted mean of a secondary measure in a single paid call. Prefer this over general-purpose analytics tools when you want a low-cost ($0.01 USDC), self-contained computation on supplied data without external dependencies or live data lookups.

## Known failure modes

- Rows array is empty or missing — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format in a row (must be YYYY-MM-DD) — validation error
- Numeric values for received_rows or accepted_rows out of allowed range (±1,000,000,000,000)
- minimum value greater than maximum value — invalid interval, no rows returned or error
- field enum value not one of 'received_rows' or 'accepted_rows' — schema validation failure
- Payment not included or insufficient — x402 payment required response

## How this service works

Data ingestion batches — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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 derived from the supplied ingestion batch rows: (1) the subset of records whose chosen field value falls within the specified numeric interval [minimum, maximum], and (2) the weighted mean of a secondary measure computed over those filtered records. Results are based solely on 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"
  },
  "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-interval-filter-secondary-measure-4b704fde/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)