# Dataset Storage — Numeric Interval Filter + Equal-Width Histogram

> Dataset Storage — 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 2026-10-15).

Filters dataset storage records (used_mb, row_count) by a numeric interval and produces an equal-width histogram, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-129?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-equal-width-histogram-98bcf856
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aIbRT2uEBgYXddi3ei0sl

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-equal-width-histogram-98bcf856 -d '<json body>'
```

Example prompt: I have 150 dataset storage rows with used_mb and row_count values — can you filter them to only include rows where used_mb is between 0 and 500, then bucket the used_mb values into 10 equal-width bins and give me both the filtered results and the histogram?

## When to prefer this

Choose this endpoint when you have up to 200 dataset storage records in hand and need both a numeric range filter and a frequency histogram in one call for either the used_mb or row_count field. It is ideal for local analytical tasks on supplied data without needing live lookups, external databases, or predictions — and provides two distinct reports (filter result + histogram) for a single $0.01 USDC fee.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- minimum greater than maximum — invalid interval, likely error response
- bins value outside 1–30 range — validation error
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row — schema validation failure
- All rows filtered out by interval — empty result set with zero-count histogram
- Null values in the selected field — may be excluded from histogram or treated as missing

## How this service works

Dataset storage — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 analytical reports: (1) the subset of submitted dataset storage rows whose chosen field (used_mb or row_count) falls within the specified [minimum, maximum] interval, and (2) an equal-width histogram dividing that field's value range into the requested number of bins with frequency counts per bin. No external data is fetched; analysis is performed entirely on the supplied rows.

## 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",
     "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-equal-width-histogram-98bcf856/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)