# Data Reconciliation — Numeric Distribution + Grouped Numeric Summary

> Data Reconciliation — Numeric Distribution + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Generates two analytical reports (numeric distribution and grouped numeric summary) for data reconciliation records containing source and target totals, covering up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-071?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-numeric-distribution-grouped-numeric-summary-aeebaa66
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4A3A6URGrpPYxMAXHxNQT

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 data-reconciliation-numeric-distribution-grouped-numeric-summary-aeebaa66 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and grouped numeric summary on my reconciliation data? I have 4 rows: row-1 on 2026-10-01 with source_total 10 and target_total 1 in group-a, row-2 on 2026-10-02 with source_total 20 and target_total 2 in group-b, row-3 on 2026-10-03 with source_total 15 and target_total 3 in group-a, row-4 on 2026-10-04 with source_total 30 and target_total 4 in group-b — analyze the source_total field.

## When to prefer this

Choose this endpoint when you need two simultaneous analytical views — a distribution and a grouped summary — on reconciliation data with source and target numeric fields, without requiring any external data lookup or live system access. Ideal for batch analytical audits of up to 200 records where statistical spread and group-level aggregation are both needed in a single call at low cost ($0.01 USDC).

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Date fields not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value (not 'source_total' or 'target_total') — error
- All null values in selected field — may produce degenerate or empty distribution

## How this service works

Data reconciliation — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary for supplied data reconciliation records (source_total, target_total). 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, percentiles, and frequency characteristics of the selected field (source_total or target_total) across all supplied rows; and (2) a grouped numeric summary breaking down aggregated statistics for the same field segmented by dataset_group. Both reports are computed locally using shared analytical engines with no external data access.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-numeric-distribution-grouped-numeric-summary-aeebaa66/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)