# Data Freshness Trailing Mean Series + Base-100 Series

> Data Freshness 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 2026-10-22).

Computes trailing mean series and base-100 indexed series for user-supplied data freshness records (age_minutes and record_count fields), returning two independent analytical reports in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-06-147?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-freshness-trailing-mean-series-base-100-series-bf6fbfbf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MYryQoe5frcXL8Ywyq3Ac

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-freshness-trailing-mean-series-base-100-series-bf6fbfbf -d '<json body>'
```

Example prompt: Analyze my data freshness records — I have about 50 rows with date, age_minutes, and record_count — and give me both a trailing mean series using a window of 5 and a base-100 series anchored at index 0 for the age_minutes field.

## When to prefer this

Choose this endpoint when you have tabular data freshness records with date, age_minutes, and record_count columns and need both a rolling average time series and a base-100 normalized index in a single low-cost call. It is ideal for monitoring pipelines, data quality dashboards, or operational reporting where you want smoothed trends and relative change without external lookups or predictions.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- Window size less than 2 or greater than 200 — out of allowed range
- Base index out of range — must be between 0 and 199 and within the number of rows supplied
- Field value not 'age_minutes' or 'record_count' — only these two enums are accepted
- Payment not attached or insufficient — requires 0.01 USDC via x402

## How this service works

Data freshness — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied data freshness records (age_minutes, record_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 independent analytical reports: (1) a trailing mean series showing the rolling average of the selected field (age_minutes or record_count) over the specified window size, and (2) a base-100 indexed series normalizing values relative to the row at the specified base index. Results cover up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "age_minutes",
     "record_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "age_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "record_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",
     "age_minutes": 10,
     "record_count": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "age_minutes": 20,
     "record_count": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "age_minutes": 15,
     "record_count": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "age_minutes": 30,
     "record_count": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "age_minutes",
    "record_count"
   ],
   "type": "string",
   "default": "age_minutes"
  },
  "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/data-freshness-trailing-mean-series-base-100-series-bf6fbfbf/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)