# Data Collection Completeness — Numeric Distribution + Numeric Row Ordering

> Data Collection Completeness — Numeric Distribution + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Analyzes data collection completeness records by computing numeric distribution statistics and numeric row ordering for up to 200 rows of observed vs. expected values, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-22-073?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-collection-completeness-numeric-distribution-numeric-row-ordering-757fc661
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rdLIsilk5jawBNJi25rNO

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 data-collection-completeness-numeric-distribution-numeric-row-ordering-757fc661 -d '<json body>'
```

Example prompt: Analyze the completeness of my education data collection — I have 4 rows for course groups 'group-a' and 'group-b' from October 2026 with observed_values and expected_values — run both numeric distribution and numeric row ordering reports on the observed_values field.

## When to prefer this

Choose this endpoint when you need two simultaneous statistical reports — numeric distribution and row ordering — on completeness data (observed vs. expected values) for up to 200 rows, without requiring any external data lookup, prediction, or live data connection. Ideal for education or survey data quality workflows where you want fast, local analytical computation on pre-supplied datasets at low cost ($0.01 USDC for both reports).

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, observed_values, expected_values) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Values outside the allowed numeric range (-1e12 to 1e12) are rejected
- Empty rows array is not permitted (minItems: 1)
- Invalid field enum value (not 'observed_values' or 'expected_values') causes an error

## How this service works

Data collection completeness — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering for supplied data collection completeness records (observed_values, expected_values). 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 distribution report summarizing statistical distribution of the selected field (observed_values or expected_values) across the supplied rows, and (2) a numeric row ordering report showing the rank or ordering of values across rows — both computed locally with no external lookups, covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "course_group",
     "date",
     "observed_values",
     "expected_values"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "expected_values": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "observed_values": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "course_group": "group-a",
     "expected_values": 1,
     "observed_values": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "course_group": "group-b",
     "expected_values": 2,
     "observed_values": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "course_group": "group-a",
     "expected_values": 3,
     "observed_values": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "course_group": "group-b",
     "expected_values": 4,
     "observed_values": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "observed_values",
    "expected_values"
   ],
   "type": "string",
   "default": "observed_values"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-collection-completeness-numeric-distribution-numeric-row-ordering-757fc661/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)