# Data Reconciliation — IQR Outlier Flags + Keyed Dataset Comparison

> Data Reconciliation — IQR Outlier Flags + 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 2026-10-24).

Runs two analytical reports on supplied reconciliation data: IQR-based outlier flagging on a chosen numeric field, and a keyed row-by-row comparison between two datasets, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-179?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-iqr-outlier-flags-keyed-dataset-comparison-97a0c8a5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c_s2eZTNY5kXnnL3oHX8l

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-iqr-outlier-flags-keyed-dataset-comparison-97a0c8a5 -d '<json body>'
```

Example prompt: I have two sets of reconciliation records (up to 50 rows each, with row_id, dataset_group, date, source_total, and target_total) — can you flag IQR outliers on the source_total field and also do a keyed row-by-row comparison between the two datasets to spot any discrepancies?

## When to prefer this

Choose this endpoint when you need two complementary analytical views on reconciliation data in a single call: statistical outlier detection (IQR-based) on a numeric field, plus a structured keyed comparison between two dataset versions. Prefer this over single-purpose tools when you want both anomaly flagging and diff-style comparison without making two separate requests. Best suited for financial reconciliation, ETL validation, or audit workflows involving up to 200 rows of source/target paired data.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, source_total, target_total) returns a validation error
- Exceeding 200 rows in either dataset returns a rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in both source_total and target_total on the same row may produce incomplete outlier analysis
- Mismatched row_id keys between primary and secondary datasets result in unmatched rows in the comparison report

## How this service works

Data reconciliation — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + 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) an IQR outlier flags report identifying rows where the chosen numeric field (source_total or target_total) falls outside the interquartile range bounds, and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary dataset, matched by row_id, dataset_group, and date.

## 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-iqr-outlier-flags-keyed-dataset-comparison-97a0c8a5/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)