# Data Collection Completeness — Base-100 Series + Two-Measure Correlation

> Data Collection Completeness — Base-100 Series + 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 2026-11-02).

Analyzes education data collection completeness by computing a Base-100 indexed series and a two-measure correlation report for up to 200 rows of observed vs. expected values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-22-165?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-collection-completeness-base-100-series-two-measure-correlation-4787c4f0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WqqBARropGa_BlulxZAGk

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-base-100-series-two-measure-correlation-4787c4f0 -d '<json body>'
```

Example prompt: Can you run a base-100 series and two-measure correlation on this education data completeness dataset — 4 rows with course groups A and B, dates from 2026-10-01 to 2026-10-04, observed values 10, 20, 15, 30 and expected values 1, 2, 3, 4 — using row index 0 as the base and indexing the observed_values field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of education or survey data with paired observed and expected numeric values and need both a normalized Base-100 trend series and a two-measure correlation in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical use cases where no live data lookup, external prediction, or professional assessment is needed — just local statistical computation on your supplied data.

## Known failure modes

- Missing required fields (row_id, date, observed_values, expected_values) cause validation errors
- Exceeding 200 rows returns an error — batch must be split
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index pointing to a null observed/expected value may produce undefined indexing behavior
- All-null values in the selected field may produce empty or degenerate output
- Payment failure via x402 protocol prevents call execution

## How this service works

Data collection completeness — Base-100 series + Two-measure correlation: Base-100 series + 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 analytical reports: (1) a Base-100 indexed series showing each row's value relative to the baseline row, and (2) a two-measure correlation between observed_values and expected_values. Both reports are computed locally from the supplied rows with no external data 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
  },
  "field": {
   "enum": [
    "observed_values",
    "expected_values"
   ],
   "type": "string",
   "default": "observed_values"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-collection-completeness-base-100-series-two-measure-correlation-4787c4f0/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)