# Structured Data Observations — Numeric Interval Filter + Daily Sum Series

> Structured Data 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 2026-10-26).

Applies a numeric interval filter and generates a daily sum time series for structured observation records with valid_items and total_items fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-08-125?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/structured-data-observations-numeric-interval-filter-daily-sum-series-a259176f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_T_IQiyhz6AJQkrjSwDwH1

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 structured-data-observations-numeric-interval-filter-daily-sum-series-a259176f -d '<json body>'
```

Example prompt: Can you run a numeric interval filter on the valid_items field — keeping only rows where valid_items is between 5 and 50 — and also generate a daily sum series from this dataset? I have about 150 rows with row_id, site_group, date, valid_items, and total_items columns.

## When to prefer this

Choose this endpoint when you have up to 200 structured observation rows with date, site_group, valid_items, and total_items fields and need both a numeric range filter report and a daily sum time series in a single low-cost call ($0.01 USDC). It is ideal for batch offline analysis of pre-collected data rather than live lookups or real-time streaming. Prefer alternatives when you need more than 200 rows, live data fetching, prediction, or professional assessment.

## Known failure modes

- Rows array empty or missing — API rejects with validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value outside allowed numeric bounds (±1 trillion) — schema rejection
- Null values in numeric fields may affect aggregation results
- Payment not included or insufficient — x402 payment required error

## How this service works

Structured data observations — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied structured data observations records (valid_items, total_items). 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

Two analytical reports: (1) a numeric interval filter report identifying which rows have the specified field value within the given minimum–maximum range, and (2) a daily sum series aggregating the specified numeric field by date across all provided rows. Results are computed locally from supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "site_group",
     "date",
     "valid_items",
     "total_items"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "site_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "total_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "valid_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "total_items": 1,
     "valid_items": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "total_items": 2,
     "valid_items": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "total_items": 3,
     "valid_items": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "total_items": 4,
     "valid_items": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_items",
    "total_items"
   ],
   "type": "string",
   "default": "valid_items"
  },
  "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/structured-data-observations-numeric-interval-filter-daily-sum-series-a259176f/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)