# Sampling Observations — Numeric Interval Filter + Daily Sum Series

> Sampling Observations — Numeric Interval Filter + 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).

Filters sampling observation rows by a numeric interval and computes a daily sum time series, returning two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-125?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-daily-sum-series-4e8ee150
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SAlOxiD1Sd5PSH3ASj7mp

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-daily-sum-series-4e8ee150 -d '<json body>'
```

Example prompt: I have 150 sampling observation rows with sample_value and sample_weight fields — can you filter them to only include rows where sample_value is between 5 and 75, and also give me a daily sum series for sample_value across all dates?

## When to prefer this

Choose this endpoint when you have up to 200 tabular sampling observation rows (with date, sample_value, and sample_weight fields) and need both a numeric interval filter report and a daily sum time series in a single call for a flat $0.01 fee. It is ideal for lightweight, offline analytical tasks on supplied data where no live data lookup, prediction, or external enrichment is needed. Prefer alternatives if you need more than 200 rows, real-time data, or a different aggregation type (e.g., weighted mean, histogram).

## Known failure modes

- More than 200 rows supplied — request will be rejected or truncated
- Rows missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Minimum greater than maximum threshold produces an empty interval filter result
- Null values in sample_value or sample_weight may be excluded from aggregation
- Values outside ±1,000,000,000,000 exceed schema bounds and will be rejected

## How this service works

Sampling observations — Numeric interval filter + Daily sum series: Numeric interval filter + 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: (1) the subset of input rows whose selected field (sample_value or sample_weight) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series aggregating the selected field values by date across all supplied rows. Both reports are computed locally from the supplied 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"
  },
  "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-daily-sum-series-4e8ee150/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)