# Dataset Storage Analytics: Trailing Mean Series + Base-100 Series

> Dataset Storage Analytics: Trailing Mean Series + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes trailing moving average series and base-100 indexed series for dataset storage metrics (used_mb, row_count) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-147?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-storage-analytics-trailing-mean-series-base-100-series-5b799382
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__XlljCd-NF_kGy2fuVK-w

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-trailing-mean-series-base-100-series-5b799382 -d '<json body>'
```

Example prompt: Can you run a trailing mean series (window of 3) and a base-100 series (starting from index 0) on my dataset storage records for used_mb? Here are the rows: group-a on 2026-10-01 used 10 MB with 1 row, group-b on 2026-10-02 used 20 MB with 2 rows, group-a on 2026-10-03 used 15 MB with 3 rows.

## When to prefer this

Choose this endpoint when you need both a rolling/trailing average and a base-100 normalized index computed together on dataset storage records (used_mb or row_count) in a single API call, without requiring any external data sources or live lookups. Ideal for offline or batch analytics workflows where cost efficiency matters and you want two complementary time-series transformations at once.

## Known failure modes

- Fewer than the window size rows provided causes incomplete trailing mean values at the start of the series
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- base_index out of range for the submitted row count returns an error
- Supplying more than 200 rows exceeds the maxItems limit and is rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation failures
- Null values in the selected metric field may produce gaps or NaN entries in the series

## How this service works

Dataset storage — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series 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 for the supplied dataset storage rows: (1) a trailing mean series showing smoothed values of the selected metric (used_mb or row_count) over the specified window, and (2) a base-100 indexed series normalizing the metric relative to the specified base row index. Both reports are computed locally on the submitted 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-analytics-trailing-mean-series-base-100-series-5b799382/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)