# Registry Snapshots — Category Frequencies + Base-100 Series

> Registry Snapshots — Category Frequencies + Base-100 Series 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 to produce category frequency distributions and a base-100 indexed series for registered and changed entity counts across company groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-105?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-base-100-series-cd6a23ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZdB9zJDfg8lHiH01Mf4LP

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-base-100-series-cd6a23ef -d '<json body>'
```

Example prompt: Can you run category frequency and base-100 index analysis on my registry snapshot data — I have rows for company groups 'group-a' and 'group-b' with daily registered_entities and changed_entities counts from October 2026, and I want to index the registered_entities field starting from row index 0?

## When to prefer this

Choose this endpoint when you have registry snapshot data with company group labels and need both a categorical frequency breakdown and a base-100 normalized index series in a single $0.01 call. It is ideal for batch analysis of up to 200 rows of entity registration or change data without requiring any external data sources or live lookups. Prefer it over general analytics tools when your data already fits the registry snapshot schema (row_id, company_group, date, registered_entities, changed_entities) and you want two complementary reports — frequency distribution and indexed trend — in one transaction.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- base_index out of range (0–199) or pointing beyond the supplied row count — computation error
- Numeric values outside allowed range (±1 trillion) — schema rejection
- Payment of 0.01 USDC not completed — access denied

## How this service works

Registry snapshots — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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 category frequency table showing how often each company_group appears in the supplied rows, and (2) a base-100 indexed time series for the selected field (registered_entities or changed_entities), normalized relative to the row at the specified base_index. Both reports are computed locally on the supplied data with no external lookups. Covers up to 200 input rows.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-category-frequencies-base-100-series-cd6a23ef/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)