# Data Reconciliation — Grouped Numeric Summary + Base-100 Series

> Data Reconciliation — Grouped Numeric Summary + Base-100 Series 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 — a grouped numeric summary and a base-100 indexed series — from supplied data reconciliation records comparing source and target totals.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-092?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-base-100-series-efa2d22f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1az1xfx1ZsoetqMtXLkF8

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-base-100-series-efa2d22f -d '<json body>'
```

Example prompt: I have up to 200 reconciliation rows with source_total and target_total values across groups like 'group-a' and 'group-b' — can you run a grouped numeric summary and a base-100 series on source_total, starting the index at row 0?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical views — a group-level numeric summary and a base-100 time series — on reconciliation data you already have locally, without any external data fetch or prediction. Ideal for ETL pipeline QA, ledger audits, or vendor data comparisons where you want grouped aggregates and indexed trend analysis in a single $0.01 call covering up to 200 rows.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200 rows
- Invalid date format (must match YYYY-MM-DD pattern)
- source_total or target_total values outside ±1,000,000,000,000 range
- base_index value exceeds number of rows minus one
- Missing required fields: row_id, dataset_group, date, source_total, or target_total
- Payment failure or insufficient USDC balance for the $0.01 call

## How this service works

Data reconciliation — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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 grouped numeric summary breaking down source_total or target_total statistics by dataset_group, and (2) a base-100 indexed series showing relative movement of the selected field over time, anchored at the specified base_index row. 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-grouped-numeric-summary-base-100-series-efa2d22f/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)