# Data Reconciliation — Equal-Width Histogram + Secondary-Measure Weighted Mean

> Data Reconciliation — Equal-Width Histogram + Secondary-Measure Weighted Mean 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 two analytical reports (equal-width histogram and secondary-measure weighted mean) on supplied source/target reconciliation data rows, up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-172?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-equal-width-histogram-secondary-measure-weighted-a463b8dd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_H-J0kA5Nd-zx3Il6RDHBS

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-equal-width-histogram-secondary-measure-weighted-a463b8dd -d '<json body>'
```

Example prompt: I have 4 reconciliation rows with source and target totals — can you run an equal-width histogram (5 bins) on source_total plus a weighted mean report for this data: row-1 group-a 2026-10-01 source=10 target=1, row-2 group-b 2026-10-02 source=20 target=2, row-3 group-a 2026-10-03 source=15 target=3, row-4 group-b 2026-10-04 source=30 target=4?

## When to prefer this

Choose this endpoint when you need two complementary statistical summaries — a histogram and a weighted mean — on reconciliation data (source vs target totals) in a single paid call. It is ideal for auditing data pipelines, financial close processes, or ETL validation where you want distribution shape and central tendency insights together. Prefer it over general analytics services when your data fits the source_total/target_total reconciliation schema and you want both reports for $0.01 in one round trip.

## Known failure modes

- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) on any row
- bins value outside 1–30 range
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row
- Null values in both source_total and target_total leaving insufficient data for computation
- field enum value not one of source_total or target_total

## How this service works

Data reconciliation — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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 showing how the selected field (source_total or target_total) distributes across the specified number of bins, and (2) a secondary-measure weighted mean summarizing the complementary field weighted by the primary measure — both computed locally against the supplied rows without any external lookups.

## 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-equal-width-histogram-secondary-measure-weighted-a463b8dd/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)