# Sampling Observations Daily Sum Series and Adjacent Row Changes Analytics

> Sampling Observations Daily Sum Series and Adjacent Row Changes Analytics 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 for sampling observation data: a daily sum series and adjacent row changes, across up to 200 rows of sample_value/sample_weight records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-137?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-and-adjacent-row-changes-31e4cbd2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_N0Gxbv30CJ3VnnkNdlV0b

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-and-adjacent-row-changes-31e4cbd2 -d '<json body>'
```

Example prompt: I have a set of sampling observation records with dates, sample values, and sample weights — can you run the daily sum series and adjacent row changes reports on them? Here are up to 200 rows with fields like row_id, dataset_group, date, sample_value, and sample_weight; analyze the sample_value field.

## When to prefer this

Choose this endpoint when you need two bundled analytical reports — a daily sum series and adjacent row changes — on sampling observation data with up to 200 rows, at a low flat cost of $0.01 USDC. It is best suited for offline or batch analytical tasks where no live data lookup, prediction, or external action is needed, and when both daily aggregation and consecutive-row delta analysis are required simultaneously.

## Known failure modes

- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Dates not matching YYYY-MM-DD pattern cause parsing errors
- Values outside the allowed numeric range (±1 trillion) are rejected
- Empty rows array returns an error
- Invalid field selector (not 'sample_value' or 'sample_weight') causes a schema validation error

## How this service works

Sampling observations — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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 analytical reports for the supplied observation rows: (1) a daily sum series showing aggregated sample values or sample weights per date, and (2) an adjacent row changes report showing the delta between consecutive rows. Results are computed locally from the supplied data with no external lookups or predictions.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-daily-sum-series-and-adjacent-row-changes-31e4cbd2/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)