# Data Reconciliation — Daily Sum Series + IQR Outlier Flags

> Data Reconciliation — Daily Sum Series + IQR Outlier Flags 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 daily sum time series and flags IQR-based outliers for source_total and target_total reconciliation records supplied by the caller.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-140?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-daily-sum-series-iqr-outlier-flags-066418d2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hHeF2unC1u5_H88etRc-0

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-daily-sum-series-iqr-outlier-flags-066418d2 -d '<json body>'
```

Example prompt: Analyze these reconciliation rows — up to 200 records with date, source_total, and target_total fields across dataset groups — and give me the daily sum series plus IQR outlier flags for the source_total field.

## When to prefer this

Choose this endpoint when you need a lightweight, local analytical computation over a modest batch of reconciliation records (up to 200 rows) to produce both a daily sum time series and IQR outlier flags in a single call at minimal cost ($0.01 USDC for 2 reports). Ideal for ETL auditing, data quality checks, and reconciliation validation workflows where no external data access or predictions are needed.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Date format not matching YYYY-MM-DD pattern — schema validation failure
- source_total or target_total values outside ±1,000,000,000,000 range — validation error
- Invalid field enum value (not 'source_total' or 'target_total') — rejected
- All null values in selected field — IQR computation not possible

## How this service works

Data reconciliation — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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 daily sum time series aggregating source_total or target_total values by date, and (2) IQR-based outlier flags identifying which rows or dates fall outside the interquartile range — all computed locally from the supplied rows without any 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-daily-sum-series-iqr-outlier-flags-066418d2/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)