# Sampling Observations — Daily Sum Series + Trailing Mean Series

> Sampling Observations — Daily Sum Series + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes a daily sum series and a trailing mean series from supplied sampling observation rows (with sample_value and sample_weight), returning two analytics reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-136?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-daily-sum-series-trailing-mean-series-b7affe6f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__WKDT521ktHx6YLIz-cz6

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-daily-sum-series-trailing-mean-series-b7affe6f -d '<json body>'
```

Example prompt: I have a set of daily sample observations with values and weights — can you compute both the daily sum series and a trailing mean series with a window of 7 days, using the sample_value field, across these rows: row-1 on 2026-10-01 group-a value 10 weight 1, row-2 on 2026-10-02 group-b value 20 weight 2, row-3 on 2026-10-03 group-a value 15 weight 3?

## When to prefer this

Choose this endpoint when you have pre-collected sampling observation records (with numeric values and weights) and need both a daily aggregation and a rolling/trailing mean in a single paid call. It is ideal for time-series smoothing tasks where you supply your own data rather than fetching live data, and when cost efficiency matters (two reports for $0.01 USDC per call up to 200 rows).

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- sample_value or sample_weight outside allowed numeric range (±1,000,000,000,000) — rejection
- window size less than 2 or greater than 200 — validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) — schema error
- Payment not processed — x402 payment required response

## How this service works

Sampling observations — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series 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 independent analytical reports: (1) a daily sum series showing aggregated totals of the selected field per date, and (2) a trailing mean series showing a rolling average over the specified window size — both computed from the supplied sampling observation rows grouped and dated as provided.

## 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-daily-sum-series-trailing-mean-series-b7affe6f/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)