# Sampling Observations — Category Frequencies + Daily Sum Series

> Sampling Observations — Category Frequencies + Daily Sum 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).

Analyzes supplied sampling observation records to produce two reports: category frequency distributions and daily sum time series, using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-102?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-category-frequencies-daily-sum-series-6c61a296
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hYf0VwUuChTsavRr73TRa

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-category-frequencies-daily-sum-series-6c61a296 -d '<json body>'
```

Example prompt: I have up to 200 sampling observation rows with dates, group labels, sample values, and weights — can you run two reports on them: one showing category frequency distribution by dataset_group, and another showing a daily sum series for sample_value?

## When to prefer this

Choose this endpoint when you have up to 200 tabular sampling observation records and need two quick analytical outputs — category frequency counts and a daily aggregated sum series — without needing external data lookups, predictions, or professional assessments. It is cost-effective at $0.01 USDC for both reports together and is ideal for lightweight, self-contained statistical summaries of survey, sampling, or time-stamped observational data.

## Known failure modes

- Submitting more than 200 rows will be rejected due to the maxItems constraint
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) will cause validation errors
- Dates not matching the YYYY-MM-DD pattern will fail schema validation
- Non-numeric or out-of-range values for sample_value or sample_weight (beyond ±1,000,000,000,000) will be rejected
- Empty rows array (minItems:1 not met) will return an error
- Payment failure (insufficient USDC) will prevent the call from completing

## How this service works

Sampling observations — Category frequencies + Daily sum series: Category frequencies + Daily sum 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 analytical reports computed locally from the supplied rows: (1) category frequencies showing how often each dataset_group value appears, and (2) a daily sum time series showing totals of the selected field (sample_value or sample_weight) aggregated by date. Both reports are derived purely from 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",
     "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-category-frequencies-daily-sum-series-6c61a296/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)