# Registry Snapshots: Category Frequencies + Two-Measure Correlation

> Registry Snapshots: Category Frequencies + 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 2026-10-19).

Analyzes registry snapshot rows to produce category frequency counts (by company_group) and a Pearson/rank correlation between registered_entities and changed_entities—two independent statistical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-108?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/registry-snapshots-category-frequencies-two-measure-correlation-9c4dc65b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m9cZbRcZXaSTvEeIImZRE

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-category-frequencies-two-measure-correlation-9c4dc65b -d '<json body>'
```

Example prompt: I have registry snapshot data for four dates across two company groups — group-a and group-b — with registered_entities counts of 10, 20, 15, 30 and changed_entities of 1, 2, 3, 4. Can you run category frequency counts and a two-measure correlation analysis on those rows?

## When to prefer this

Choose this endpoint when you have up to 200 registry snapshot records and need both a categorical frequency breakdown (how many rows per company group) and a bivariate correlation between registered_entities and changed_entities — delivered as two reports in a single low-cost ($0.01) call. Prefer it over general-purpose analytics tools when working with structured registry/entity data and wanting a lightweight, no-setup statistical summary without any live data lookups or external enrichment.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) in any row
- Date field does not match YYYY-MM-DD pattern
- registered_entities or changed_entities values exceed allowed numeric range
- All rows belong to a single category — frequency report trivial, correlation may be undefined
- All numeric values identical — correlation coefficient undefined (zero variance)
- Payment of 0.01 USDC not completed — request rejected by x402 paywall

## How this service works

Registry snapshots — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 statistical reports: (1) a frequency table showing how many rows belong to each company_group category, and (2) a correlation coefficient (and supporting statistics) measuring the relationship between registered_entities and changed_entities across all supplied rows. No external lookups or predictions are made — analysis is performed entirely on the supplied data.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-category-frequencies-two-measure-correlation-9c4dc65b/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)