# Registry Snapshots — Trailing Mean Series + Date by Category Pivot

> Registry Snapshots — Trailing Mean Series + 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 2026-10-23).

Computes a trailing moving average time series and a date-by-category pivot table for supplied registry snapshot data (registered_entities, changed_entities) — two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-152?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-trailing-mean-series-date-by-category-pivot-49f4fd0c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lSOwF8mpnKW19vlIzUHaK

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-trailing-mean-series-date-by-category-pivot-49f4fd0c -d '<json body>'
```

Example prompt: Run a trailing mean series with a window of 3 and a date-by-category pivot on these registry snapshot rows — the field I care about is registered_entities, and here are my records: 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 need both a rolling/trailing mean time series and a date-by-category pivot on registry snapshot data (registered_entities or changed_entities) in a single low-cost call. It is ideal for batch analytical summarization of up to 200 pre-collected rows without any need for live data lookup or external enrichment. Prefer it over general-purpose analytics tools when working within the x402 micropayment ecosystem and needing two bundled reports for $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — hard cap at 200 rows
- Window size less than 2 or greater than 200 — invalid window
- Date values not matching YYYY-MM-DD format — schema validation failure
- row_id missing or empty — required field violation
- Numeric field values outside ±1,000,000,000,000 — schema violation
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Registry snapshots — Trailing mean series + Date by category pivot: Trailing mean series + 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 independent analytical reports: (1) a trailing mean series showing rolling averages of the selected field (registered_entities or changed_entities) over the specified window, and (2) a date-by-category pivot table breaking down the selected field's values by date and company_group — both computed from the supplied rows 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-trailing-mean-series-date-by-category-pivot-49f4fd0c/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)