# Data Reconciliation Analytics — Category Frequencies & Numeric Interval Filter

> Data Reconciliation Analytics — Category Frequencies & Numeric Interval Filter 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).

Analyzes data reconciliation records (source_total vs target_total) by computing category frequencies across dataset groups and filtering rows by a numeric interval, returning two bundled local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-101?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-analytics-category-frequencies-numeric-interval-6effd0d4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BDrGAlCUtJYM1XMr9TmUs

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-analytics-category-frequencies-numeric-interval-6effd0d4 -d '<json body>'
```

Example prompt: Can you analyze my reconciliation data — I have rows with source_total and target_total grouped into 'group-a' and 'group-b' — give me the category frequencies across dataset groups and also filter to show only rows where source_total is between 10 and 50? I've got about 20 rows to send.

## When to prefer this

Choose this endpoint when you have up to 200 data reconciliation records with source and target totals grouped by category, and need both a frequency distribution of those categories AND a numeric interval filter in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline analytical passes on reconciliation data without requiring a live data warehouse or BI tool. Prefer it over general-purpose analytics APIs when you specifically need these two bundled reconciliation-oriented reports and want deterministic local computation with no external data dependencies.

## Known failure modes

- More than 200 rows submitted — request rejected, must send ≤200 rows
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- minimum greater than maximum — interval filter may return empty result set
- row_id or dataset_group exceeds 80 characters — validation error
- Payment not included or insufficient — x402 payment required error

## How this service works

Data reconciliation — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 bundled analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied records, and (2) a filtered row set containing only records where the chosen field (source_total or target_total) falls within the specified minimum–maximum numeric interval. Both reports are computed locally on 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-analytics-category-frequencies-numeric-interval-6effd0d4/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)