# Data Reconciliation — Grouped Numeric Summary + Numeric Row Ordering

> Data Reconciliation — Grouped Numeric Summary + Numeric Row Ordering 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).

Computes a grouped numeric summary and a numeric row ordering for up to 200 data reconciliation records comparing source and target totals.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-087?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-grouped-numeric-summary-numeric-row-ordering-efdd6a8b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Hagj4cVUdDlHigY_H-v_T

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-grouped-numeric-summary-numeric-row-ordering-efdd6a8b -d '<json body>'
```

Example prompt: I have 4 reconciliation rows — row-1 on 2026-10-01 in group-a with source 10 and target 1, row-2 on 2026-10-02 in group-b with source 20 and target 2, row-3 on 2026-10-03 in group-a with source 15 and target 3, row-4 on 2026-10-04 in group-b with source 30 and target 4 — can you give me a grouped numeric summary and rank them by source_total?

## When to prefer this

Choose this endpoint when you need both a grouped aggregate summary AND a ranked row ordering for data reconciliation records in a single API call. Ideal for ETL audits, financial close reconciliations, or any workflow comparing source vs. target totals across named groups with up to 200 rows. Prefer this over generic analytics tools when you want two distinct reconciliation-oriented reports cheaply ($0.01 USDC) without sending data to an external prediction or lookup service.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array causes validation failure
- Invalid field enum value (anything other than 'source_total' or 'target_total') is rejected

## How this service works

Data reconciliation — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 analytical reports: (1) a grouped numeric summary aggregating source_total or target_total values across dataset_group categories, and (2) a numeric row ordering ranking all supplied rows by the specified numeric field. Both reports are computed locally from the supplied data with no external lookups.

## 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-grouped-numeric-summary-numeric-row-ordering-efdd6a8b/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)