# Registry Snapshots Two-Measure Correlation with Missing-Value Fill

> Registry Snapshots Two-Measure Correlation with Missing-Value Fill 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).

Computes Pearson correlation between registered_entities and changed_entities in registry snapshot data, while filling missing values using zero, mean, or median imputation, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-184?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/registry-snapshots-two-measure-correlation-with-missing-value-fill-09492573
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AIHNlZ0-Ze9DYx9rlGEV3

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 registry-snapshots-two-measure-correlation-with-missing-value-fill-09492573 -d '<json body>'
```

Example prompt: I have 150 registry snapshot rows with registered_entities and changed_entities counts across several company groups — some values are null. Can you fill the missing registered_entities values using median imputation and then compute the correlation between registered_entities and changed_entities for me?

## When to prefer this

Choose this endpoint when you have registry snapshot tabular data (registered_entities, changed_entities) with possible nulls and need both missing-value imputation and a correlation analysis in a single paid call for up to 200 rows. It is ideal when you want offline, local statistical analysis with no live lookups and need the two reports bundled at minimal cost. Prefer alternatives if you need more than 200 rows, more than two measures correlated, live data enrichment, or different analytical outputs like histograms or pivot tables.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Unknown fill method enum value — validation error
- All values for a measure are null — correlation cannot be computed
- Payment of 0.01 USDC not completed — 402 response, no reports returned

## How this service works

Registry snapshots — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied registry snapshots records (registered_entities, changed_entities). 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 two-measure Pearson correlation result between registered_entities and changed_entities, and (2) an explicit missing-value fill report showing which rows had nulls and what values were substituted using the chosen method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-two-measure-correlation-with-missing-value-fill-09492573/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)