# Sampling Observations — Record Quality Audit + Equal-Width Histogram

> Sampling Observations — Record Quality Audit + 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 2026-10-19).

Runs two local analytical reports on submitted sampling observation records: a data quality audit and an equal-width histogram, for up to 200 rows of sample_value/sample_weight data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-013?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-record-quality-audit-equal-width-histogram-98bdcbd8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XSjSkqxJ8-f3Nq2K8TdU0

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-record-quality-audit-equal-width-histogram-98bdcbd8 -d '<json body>'
```

Example prompt: Can you run a record quality audit and equal-width histogram on my sampling observations? I have 4 rows with sample_value and sample_weight fields — use 5 bins and analyze the sample_value column.

## When to prefer this

Choose this endpoint when you need a lightweight, combined data quality audit and histogram report on up to 200 sampling observation records without any live external data lookups or predictions. It is ideal for pre-analysis data profiling, QA pipelines, or validating survey/experimental sample datasets before downstream statistical processing. Prefer this over generic analytics tools when your data specifically has sample_value and sample_weight columns and you want both a quality audit and distribution histogram in a single low-cost call.

## Known failure modes

- More than 200 rows submitted — request rejected at max item limit
- Invalid date format not matching YYYY-MM-DD pattern causes validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause schema rejection
- bin count outside 1–30 range causes validation error
- Numeric values outside ±1,000,000,000,000 bounds rejected
- Empty rows array (minItems: 1) causes rejection

## How this service works

Sampling observations — Record quality audit + Equal-width histogram: Record quality audit + 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

Two analytical reports delivered together: (1) a record quality audit flagging data completeness, null counts, and validity issues across the submitted rows; and (2) an equal-width histogram showing value distribution of the selected field (sample_value or sample_weight) across the specified number of bins. 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-record-quality-audit-equal-width-histogram-98bdcbd8/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)