# Asset Revisions — Grouped Numeric Summary + Two-Measure Correlation

> Asset Revisions — Grouped Numeric Summary + Two-Measure Correlation 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).

Runs two local analytical reports on supplied asset revision records: a grouped numeric summary by asset_group and a Pearson/rank correlation between revision_count and rework_hours, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-14-095?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/asset-revisions-grouped-numeric-summary-two-measure-correlation-bc1e6629
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HpZTmvwgeeKciHyg7mP-N

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 asset-revisions-grouped-numeric-summary-two-measure-correlation-bc1e6629 -d '<json body>'
```

Example prompt: I have 150 rows of asset revision records with fields row_id, asset_group, date, revision_count, and rework_hours — can you group them by asset_group to get a numeric summary, and also compute the correlation between revision_count and rework_hours?

## When to prefer this

Choose this endpoint when you have raw asset revision records (up to 200 rows) in hand and need two local statistical reports — a per-group numeric summary and a correlation between revision_count and rework_hours — without requiring any external data lookup, live data feed, or prediction. It is ideal for ops or quality teams doing quick batch analysis on submitted data at low cost ($0.01 USDC for both reports). Prefer alternatives if you need more than 200 rows, time-series forecasting, or more than two analytical outputs per call.

## Known failure modes

- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected with row limit error
- Missing required fields (row_id, asset_group, date, revision_count, rework_hours) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — rejected
- Null values in both measures may reduce correlation reliability — partial or NaN result
- Payment not attached or insufficient — 402 payment required error

## How this service works

Asset revisions — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation for supplied asset revisions records (revision_count, rework_hours). 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 reports: (1) a grouped numeric summary table showing descriptive statistics (e.g. count, mean, min, max, std) of either revision_count or rework_hours broken down by asset_group; and (2) a two-measure correlation report showing the statistical relationship (e.g. Pearson r, p-value) between revision_count and rework_hours across all supplied rows. Results are derived entirely from the submitted data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "revision_count",
     "rework_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "rework_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "revision_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "rework_hours": 1,
     "revision_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "rework_hours": 2,
     "revision_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "rework_hours": 3,
     "revision_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "rework_hours": 4,
     "revision_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "revision_count",
    "rework_hours"
   ],
   "type": "string",
   "default": "revision_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/asset-revisions-grouped-numeric-summary-two-measure-correlation-bc1e6629/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)