# Data Ingestion Batches — Numeric Interval Filter + Equal-Width Histogram

> Data Ingestion Batches — Numeric Interval Filter + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Filters data ingestion batch records by a numeric interval and computes an equal-width histogram over up to 200 rows for either received_rows or accepted_rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-129?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-numeric-interval-filter-equal-width-histogram-5af9b137
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NLz8MWJYOIK9NMBoFYiB1

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-equal-width-histogram-5af9b137 -d '<json body>'
```

Example prompt: Analyze my ingestion batch data — I have up to 50 records with row_id, dataset_group, date, received_rows, and accepted_rows. Filter by received_rows between 0 and 500, then generate an equal-width histogram with 10 bins over that field.

## When to prefer this

Use this endpoint when you have up to 200 data ingestion batch records and need both a range-filtered view and a histogram distribution of row counts (received or accepted) in a single low-cost call. Prefer it over general analytics tools when working specifically with ingestion pipeline metrics and needing quick local statistical summaries without external data access. It bundles two reports for $0.01 USDC, making it highly cost-effective for lightweight batch analytics.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — rejected with validation error
- bins value outside 1–30 range — schema validation failure
- Invalid date format (not YYYY-MM-DD) in row data — rejected
- minimum greater than maximum — may produce empty filter result or error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) in any row — validation error
- Null values in the selected numeric field may reduce effective analysis population

## How this service works

Data ingestion batches — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 on the supplied batch records: (1) a numeric interval filter showing which records fall within the specified minimum/maximum range for the chosen field, and (2) an equal-width histogram partitioning that field's values into the requested number of bins with frequency counts per bin. Both reports operate entirely on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-5af9b137/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)