# Data Reconciliation Analytics: Equal-Width Histogram + Two-Measure Correlation

> Data Reconciliation Analytics: Equal-Width Histogram + Two-Measure Correlation 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 an equal-width histogram and a two-measure correlation analysis on supplied data reconciliation records (source_total vs target_total) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-171?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-equal-width-histogram-two-measure-ba84e3af
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mW-At4z3a5-DkODjQf86J

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-equal-width-histogram-two-measure-ba84e3af -d '<json body>'
```

Example prompt: Run an equal-width histogram with 10 bins on the source_total field, plus a two-measure correlation between source_total and target_total, for these 50 reconciliation records — each has a row_id, dataset_group, date, source_total, and target_total.

## When to prefer this

Choose this endpoint when you have structured reconciliation data with source and target numeric totals and need both a distribution view (histogram) and a linear relationship measure (correlation) in a single call for up to 200 rows. It is ideal for ETL validation, financial reconciliation audits, and data migration checks where no external data lookup, prediction, or external action is needed — just local analytical computation on supplied data.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) — row or request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Bins value outside 1–30 range — validation error
- All source_total or target_total values are null — correlation report cannot be computed
- Numeric values outside ±1,000,000,000,000 range — validation error

## How this service works

Data reconciliation — Equal-width histogram + Two-measure correlation: Equal-width histogram + Two-measure correlation 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) an equal-width histogram bucketing the chosen field (source_total or target_total) into up to 30 bins showing frequency distribution, and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across all supplied 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-equal-width-histogram-two-measure-ba84e3af/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)