# Registry Snapshots — Category Frequencies + Date by Category Pivot

> Registry Snapshots — Category Frequencies + Date by Category Pivot 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).

Analyzes registry snapshot data (registered_entities, changed_entities) by computing category frequency distributions and a date-by-category pivot table, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-110?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-category-frequencies-date-by-category-pivot-02e8ebd0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xPxkAs6MnxWINAo969Xzw

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-date-by-category-pivot-02e8ebd0 -d '<json body>'
```

Example prompt: Can you run two analytical reports on my registry snapshot data — a category frequency breakdown and a date-by-category pivot — for these records across company groups A and B using the registered_entities field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of registry snapshot data with company group and date fields and need both a category frequency distribution and a date-by-category pivot in one low-cost call ($0.01 USDC). It is best when analysis is purely on supplied data with no need for live lookup or external enrichment. Prefer alternatives if you need grouped numeric summaries or other report types available in the sibling endpoints.

## Known failure modes

- Missing required fields (row_id, company_group, date, registered_entities, or changed_entities) cause validation errors
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1T to +1T) are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (must be 'registered_entities' or 'changed_entities') causes rejection
- Payment failure via x402 protocol prevents processing

## How this service works

Registry snapshots — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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 analytical reports: (1) a category frequency table showing how often each company_group appears across the supplied rows, and (2) a date-by-category pivot table showing the selected field (registered_entities or changed_entities) aggregated by date and company_group. Both reports are computed locally against 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-category-frequencies-date-by-category-pivot-02e8ebd0/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)