# Data Reconciliation — Date-by-Category Pivot + Keyed Dataset Comparison

> Data Reconciliation — Date-by-Category Pivot + Keyed Dataset Comparison 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).

Runs two analytical reports on reconciliation data: a date-by-category pivot table and a row-keyed comparison between two datasets (source_total vs target_total), up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-188?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-date-by-category-pivot-keyed-dataset-comparison-f3ed24bc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0GPnRsuqp19yJ5AEqtj41

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-date-by-category-pivot-keyed-dataset-comparison-f3ed24bc -d '<json body>'
```

Example prompt: I have two datasets of up to 200 reconciliation rows, each with a row_id, date, dataset_group, source_total, and target_total — can you pivot them by date and category, and also run a keyed comparison between the two datasets to show where source_total differs from target_total?

## When to prefer this

Choose this endpoint when you need both a pivot-table summary by date and category AND a row-keyed side-by-side comparison of two reconciliation datasets in a single API call. It is ideal for financial reconciliation, ETL validation, and audit workflows where source and target totals must be compared across up to 200 rows. Prefer this over single-report endpoints when you need both analytical views at a bundled $0.01 price point with no external dependencies.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, date, dataset_group, source_total, target_total) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- source_total or target_total outside allowed range (-1T to +1T) — validation error
- Empty rows array (minItems: 1 not met) — rejection
- Mismatched row_ids between rows and other arrays may result in unmatched comparison entries

## How this service works

Data reconciliation — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 date-by-category pivot table aggregating the selected field (source_total or target_total) across dataset_group and date dimensions, and (2) a keyed row-by-row comparison between the primary dataset (rows) and the secondary dataset (other), highlighting differences and variances between source_total and target_total values. Both reports are computed locally with no external data 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_total": 10,
     "target_total": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_total": 20,
     "target_total": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_total": 15,
     "target_total": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_total": 30,
     "target_total": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_total",
    "target_total"
   ],
   "type": "string",
   "default": "source_total"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": "st
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-date-by-category-pivot-keyed-dataset-comparison-f3ed24bc/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)