# Sampling Observations — Numeric Interval Filter + Date by Category Pivot

> Sampling Observations — Numeric Interval Filter + Date by Category Pivot 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).

Filters sampling observation records by a numeric value range and produces a date-by-category pivot table, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-133?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-numeric-interval-filter-date-by-category-pivot-5a09b437
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5rB8T11NP6r5rtTkklZ5d

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-numeric-interval-filter-date-by-category-pivot-5a09b437 -d '<json body>'
```

Example prompt: Filter my sampling observations so only rows where sample_value is between 5 and 50 are included, then give me a date-by-category pivot table — I have about 120 rows with row IDs, dates (YYYY-MM-DD), group labels, sample_value, and sample_weight.

## When to prefer this

Choose this endpoint when you have up to 200 sampling observation records (with sample_value and sample_weight) and need two simultaneous analytical views: a numeric range filter and a date-by-category pivot. It is ideal for lightweight, offline-style analysis where no external data lookup or prediction is needed, and when you want both reports bundled at a flat $0.01 USDC cost rather than running two separate API calls.

## Known failure modes

- Rows array is empty or missing — API returns a validation error
- More than 200 rows supplied — exceeds maxItems limit, request rejected
- Date strings not matching YYYY-MM-DD pattern — validation error on date field
- minimum greater than maximum — may return empty filtered set with no error
- null sample_value or sample_weight values may be excluded from numeric computations
- Missing required fields (row_id, dataset_group, date) — schema validation failure
- Payment not processed — x402 payment required before results are returned

## How this service works

Sampling observations — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 derived from the supplied rows: (1) a subset of records whose target field (sample_value or sample_weight) falls within the specified numeric interval [minimum, maximum], and (2) a pivot table crossing date against dataset_group categories, showing aggregated values for the filtered observations. Both reports are computed locally without external lookups or live data.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-numeric-interval-filter-date-by-category-pivot-5a09b437/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)