# Registry Snapshots Numeric Distribution + Row Ordering Analyzer

> Registry Snapshots Numeric Distribution + Row Ordering Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes numeric distribution statistics and numeric row ordering reports for registry snapshot data (registered_entities, changed_entities) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-073?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/registry-snapshots-numeric-distribution-row-ordering-analyzer-b20bd901
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zEbPlpRxfocZ4NMtNhlol

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-numeric-distribution-row-ordering-analyzer-b20bd901 -d '<json body>'
```

Example prompt: Analyze the distribution of registered_entities and rank all rows by that field for these registry snapshots: row-1 group-a 2026-10-01 registered=10 changed=1, row-2 group-b 2026-10-02 registered=20 changed=2, row-3 group-a 2026-10-03 registered=15 changed=3.

## When to prefer this

Choose this endpoint when you have registry snapshot data (registered or changed entity counts by company group and date) and need both a distribution summary and a ranked ordering of rows for one numeric field, all computed offline on your supplied data without any live data fetch or external enrichment. Ideal for batch analytical reporting on up to 200 registry records at $0.01 per call.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value outside allowed range (-1T to +1T) — schema rejection
- Empty rows array — minItems violation
- Invalid field enum value — only 'registered_entities' or 'changed_entities' accepted

## How this service works

Registry snapshots — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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 numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (registered_entities or changed_entities), and (2) a numeric row ordering report ranking all supplied rows by that field value — both computed locally on the supplied data without any 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-numeric-distribution-row-ordering-analyzer-b20bd901/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)