# Dataset Storage Numeric Interval Filter and IQR Outlier Flags

> Dataset Storage Numeric Interval Filter and IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Filters dataset storage records by a numeric interval and flags IQR-based outliers for used_mb or row_count fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-130?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-storage-numeric-interval-filter-and-iqr-outlier-flags-46daf891
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lK4Z82cekUdxyU3P7ck3P

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 dataset-storage-numeric-interval-filter-and-iqr-outlier-flags-46daf891 -d '<json body>'
```

Example prompt: Can you filter my dataset storage records to only show rows where used_mb is between 0 and 500, and also flag any IQR outliers in the used_mb field? Here are my rows: row-1 group-a 2026-10-01 used_mb=10 row_count=100, row-2 group-b 2026-10-02 used_mb=950 row_count=200, row-3 group-a 2026-10-03 used_mb=20 row_count=150.

## When to prefer this

Choose this endpoint when you need to simultaneously filter dataset storage records by a numeric range AND detect IQR-based statistical outliers on the same dataset, with up to 200 rows, at very low cost ($0.01 USDC for both reports). It is best suited for offline/batch analytical tasks on pre-collected storage metrics (used_mb, row_count) where no live data fetching, prediction, or external enrichment is needed.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in used_mb or row_count may affect IQR computation or be excluded
- Minimum greater than maximum results in empty interval filter output
- Missing required fields (row_id, dataset_group, date) cause validation errors
- Field enum value not one of used_mb or row_count causes rejection

## How this service works

Dataset storage — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied dataset storage records (used_mb, row_count). 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 reports for the supplied dataset rows: (1) a numeric interval filter report showing which rows fall within the specified minimum/maximum range for the chosen field, and (2) an IQR outlier flags report identifying rows whose values fall outside the interquartile range for that field. Both reports are computed locally 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",
     "used_mb",
     "row_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "used_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "used_mb": 10,
     "row_count": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "used_mb": 20,
     "row_count": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "used_mb": 15,
     "row_count": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "used_mb": 30,
     "row_count": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "used_mb",
    "row_count"
   ],
   "type": "string",
   "default": "used_mb"
  },
  "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/dataset-storage-numeric-interval-filter-and-iqr-outlier-flags-46daf891/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)