# Sampling Observations — Numeric Interval Filter + Equal-Width Histogram

> Sampling Observations — Numeric Interval Filter + Equal-Width Histogram 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 interval and computes an equal-width histogram over up to 200 rows, returning two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-129?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-equal-width-histogram-48a17b74
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xna5IDof7dKPPuQ3LsrLn

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-equal-width-histogram-48a17b74 -d '<json body>'
```

Example prompt: I have 50 sampling observation rows with sample_value and sample_weight fields — can you filter them to keep only values between 0 and 100, then build a 10-bin equal-width histogram on sample_value and give me both reports?

## When to prefer this

Choose this endpoint when you have up to 200 pre-collected sampling observation rows and need both an interval filter and a histogram computed together in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows where data is already gathered and you want local distribution analysis without any live data lookup, external prediction, or professional assessment. Prefer this over general-purpose statistics APIs when you specifically need the combined interval-filter + equal-width histogram dual-report output on weighted sample data.

## Known failure modes

- Rows array empty or missing — API rejects with validation error
- More than 200 rows supplied — request rejected due to maxItems constraint
- bins value outside 1–30 range — validation error returned
- sample_value or sample_weight outside ±1,000,000,000,000 — rejected by schema
- Invalid date format (not YYYY-MM-DD) — row-level validation failure
- minimum greater than maximum — may produce empty filter result or error
- Non-numeric values in sample_value/sample_weight fields when null not intended — schema coercion issues

## How this service works

Sampling observations — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 independent analytical reports: (1) a numeric interval filter report showing which of the supplied rows fall within the specified [minimum, maximum] range for the chosen field, and (2) an equal-width histogram report dividing that field's values into the requested number of bins with counts (and weighted counts) per bin. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-48a17b74/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)