# Data Reconciliation Analytics — Record Quality Audit + String Normalisation + Equal-Width Histogram

> Data Reconciliation Analytics — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 three local analytical reports on reconciliation row data: a record quality audit, string normalisation, and an equal-width histogram — all in a single call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-202?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-record-quality-audit-string-7129d029
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NDat56Jk6ce2m6QeIDx1k

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-record-quality-audit-string-7129d029 -d '<json body>'
```

Example prompt: Run a record quality audit, string normalisation, and an equal-width histogram with 10 bins on my reconciliation data — here are the rows: [{row_id: 'r1', dataset_group: 'finance', date: '2024-01-15', source_total: 5000, target_total: 4980}, {row_id: 'r2', dataset_group: 'finance', date: '2024-01-16', source_total: 6200, target_total: null}], and use source_total as the histogram field.

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) set of three data profiling reports — quality audit, string normalisation, and histogram — on reconciliation row data in a single call. Ideal for pre-ETL validation, month-end close checks, or any pipeline where source and target totals need to be profiled without external lookups or predictions. Prefer over individual analytics endpoints when all three report types are needed simultaneously for the same dataset.

## Known failure modes

- More than 200 rows submitted — request rejected, reduce input size
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Bins value outside 1–30 range — rejected with schema error
- All values null for histogram field — histogram report may be empty or degenerate
- Malformed JSON body — HTTP 400 error

## How this service works

Data reconciliation — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging missing values, formatting errors, and anomalies per row; (2) a string normalisation report showing standardised text fields; and (3) an equal-width histogram report showing bin edges and counts for the chosen numeric field (source_total or target_total), across up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-analytics-record-quality-audit-string-7129d029/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)