# Dataset Storage Analytics — Numeric Row Ordering + Equal-Width Histogram

> Dataset Storage Analytics — Numeric Row Ordering + 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).

Computes two analytical reports (numeric row ordering and equal-width histogram) on dataset storage metrics (used_mb, row_count) for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-118?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-analytics-numeric-row-ordering-equal-width-histogram-9bcd174b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V7uZJFz5WxQPqNoYQzM_K

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-analytics-numeric-row-ordering-equal-width-histogram-9bcd174b -d '<json body>'
```

Example prompt: Rank my dataset storage records by used_mb and also give me a 10-bin equal-width histogram of used_mb — here are the rows: row-1 on 2026-10-01 group-a used_mb=10 row_count=1, row-2 on 2026-10-02 group-b used_mb=20 row_count=2, row-3 on 2026-10-03 group-a used_mb=15 row_count=3, row-4 on 2026-10-04 group-b used_mb=30 row_count=4.

## When to prefer this

Choose this endpoint when you have already collected dataset storage records locally and need quick offline-style statistical summaries (ordering + histogram) without any live data lookup, external enrichment, or prediction. Best for batch analytical passes over up to 200 rows of storage metrics where both a ranked list and a frequency distribution are needed in one call at minimal cost.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error
- bins parameter outside 1–30 range — rejected
- All values for selected field are null — histogram cannot be computed
- Malformed date strings not matching YYYY-MM-DD pattern — validation error

## How this service works

Dataset storage — Numeric row ordering + Equal-width histogram: Numeric row ordering + 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) all submitted rows ranked in ascending/descending numeric order by the selected field (used_mb or row_count), and (2) an equal-width histogram dividing the selected field's value range into the specified number of bins, with frequency counts per bin and bin boundary values.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-analytics-numeric-row-ordering-equal-width-histogram-9bcd174b/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)