# Data Collection Completeness — Record Quality Audit + Two-Measure Correlation

> Data Collection Completeness — Record Quality Audit + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Audits record quality and computes two-measure correlation for data collection completeness records containing observed vs. expected values, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-22-015?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-collection-completeness-record-quality-audit-two-measure-b961174b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ub45_F1Bc4w7-UDTZuDpV

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-record-quality-audit-two-measure-b961174b -d '<json body>'
```

Example prompt: Can you run a record quality audit and two-measure correlation on my data collection completeness records? I have up to 50 rows, each with a row_id, course_group like 'group-a' or 'group-b', a date, and observed vs. expected values — I want both reports back so I can see where the data falls short.

## When to prefer this

Choose this endpoint when you need both a record quality audit and a two-measure correlation analysis on education or data-collection completeness records in a single low-cost call. It is ideal for datasets up to 200 rows where you want offline, deterministic analysis of observed vs. expected values without any live lookups, predictions, or external integrations. Prefer it over general-purpose analytics tools when working within an x402 micropayment agentic workflow and when the education/course-group data structure matches your schema.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, observed_values, expected_values) — validation error
- Date field does not match YYYY-MM-DD format — pattern validation failure
- observed_values or expected_values outside allowed numeric range — schema rejection
- Empty rows array (minItems:1 not satisfied) — request rejected
- Payment not included or insufficient USDC — 402 payment required

## How this service works

Data collection completeness — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 record quality audit flagging issues such as nulls, out-of-range values, or malformed entries across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between observed_values and expected_values across all provided records. Both reports are generated locally with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-collection-completeness-record-quality-audit-two-measure-b961174b/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)