# Registry Snapshots — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill

> Registry Snapshots — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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 secondary-measure weighted mean and fills missing values in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-187?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-secondary-measure-weighted-mean-explicit-missing-bb3ae63d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yNd6ZGbtlHytYyJ5ZQQPv

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-secondary-measure-weighted-mean-explicit-missing-bb3ae63d -d '<json body>'
```

Example prompt: I have a set of registry snapshot rows with registered_entities and changed_entities values for a few company groups — some values are missing. Can you compute the secondary-measure weighted mean of registered_entities (using changed_entities as the weight), filling any missing values with the median, for up to 200 rows and give me 2 reports?

## When to prefer this

Choose this endpoint when you need to compute a weighted mean of registry snapshot metrics (registered_entities or changed_entities) using the other measure as the secondary weight, combined with explicit missing-value imputation (zero, mean, or median fill), on up to 200 rows of supplied data. It is ideal for pre-analysis data cleaning of entity registry records and produces 2 reports per call at low cost. Prefer it over generic statistical APIs when your data is structured as company-group registry snapshots with these specific fields.

## Known failure modes

- Rows exceed 200 item limit — request rejected
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Invalid enum value for field or method — schema error
- Empty rows array — minimum 1 item required

## How this service works

Registry snapshots — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 2 analytical reports covering: (1) secondary-measure weighted mean of the selected field (registered_entities or changed_entities) weighted by the other measure, and (2) explicit missing-value fill results using the chosen method (zero, mean, or median) — all computed locally against the supplied rows 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-secondary-measure-weighted-mean-explicit-missing-bb3ae63d/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)