# Sampling Observations — Trailing Mean Series + Secondary-Measure Weighted Mean

> Sampling Observations — Trailing Mean Series + Secondary-Measure Weighted Mean 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 a trailing (rolling) mean time series and a secondary-measure weighted mean over up to 200 user-supplied sampling observation rows in a single paid call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-151?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/sampling-observations-trailing-mean-series-secondary-measure-weighted-7883920a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TTd1f4rgyykIVxoFrn1yD

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 sampling-observations-trailing-mean-series-secondary-measure-weighted-7883920a -d '<json body>'
```

Example prompt: Can you calculate both a trailing mean series with a window of 3 and the secondary-measure weighted mean for these sampling observations — I have rows with dates from 2026-10-01 to 2026-10-04, values like 10, 20, 15, 30 and weights 1, 2, 3, 4 across groups 'group-a' and 'group-b', and I want to run the analysis on the sample_value field?

## When to prefer this

Choose this endpoint when you need both a rolling/trailing mean time series AND a weighted mean computed from the same set of sampling observation records in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical work on up to 200 rows where no live data lookup, external prediction, or professional assessment is needed — just local statistical computation on supplied data.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) return validation errors
- Dates not matching YYYY-MM-DD pattern cause schema validation failure
- Submitting more than 200 rows exceeds maxItems limit and is rejected
- Window size below 2 or above 200 is rejected by schema validation
- Null values in sample_value or sample_weight may produce partial or NaN results in calculations
- Payment failure via x402 protocol prevents call execution

## How this service works

Sampling observations — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean for supplied sampling observations records (sample_value, sample_weight). 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 in a single response: (1) a trailing (rolling) mean series computed over the specified window size for the chosen field across all submitted rows, and (2) a secondary-measure weighted mean that uses sample_weight as the weighting factor for sample_value (or vice versa). Both reports are produced locally from the submitted data with no external lookups. 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",
     "sample_value",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "sample_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "sample_value": 10,
     "dataset_group": "group-a",
     "sample_weight": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "sample_value": 20,
     "dataset_group": "group-b",
     "sample_weight": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "sample_value": 15,
     "dataset_group": "group-a",
     "sample_weight": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "sample_value": 30,
     "dataset_group": "group-b",
     "sample_weight": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "sample_value",
    "sample_weight"
   ],
   "type": "string",
   "default": "sample_value"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-trailing-mean-series-secondary-measure-weighted-7883920a/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)