# Data Reconciliation — Base-100 Series + Secondary-Measure Weighted Mean

> Data Reconciliation — Base-100 Series + 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).

Computes a base-100 indexed time series and a secondary-measure weighted mean for supplied source/target reconciliation data rows, returning two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-166?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-base-100-series-secondary-measure-weighted-mean-942a7cd5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hdhBOjo6oK4YdH3ypnfZs

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-base-100-series-secondary-measure-weighted-mean-942a7cd5 -d '<json body>'
```

Example prompt: Run a base-100 rebase and secondary-measure weighted mean on my reconciliation rows — I have 4 records for group-a and group-b from 2026-10-01 to 2026-10-04 with source_totals of 10, 20, 15, 30 and target_totals of 1, 2, 3, 4; use source_total as the field and base_index 0.

## When to prefer this

Choose this endpoint when you have structured reconciliation data with source and target totals and need both a base-100 indexed time series and a weighted mean computed in a single call without any external data lookups. It is well-suited for financial, inventory, or operational reconciliation scenarios with up to 200 rows grouped across multiple dataset groups. Prefer this over generic statistics APIs when you specifically need the base-100 rebasing plus weighted mean combination on pre-supplied row data.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, source_total, target_total) cause validation errors
- More than 200 rows submitted returns an error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (≥ number of rows) causes computation failure
- Null values in source_total or target_total may affect weighted mean accuracy
- Payment not attached or insufficient USDC causes 402 rejection

## How this service works

Data reconciliation — Base-100 series + Secondary-measure weighted mean: Base-100 series + 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 for the supplied rows: (1) a base-100 indexed time series rebased at the specified base_index row for the chosen field, and (2) a secondary-measure weighted mean across the dataset. Both reports are computed locally from the supplied data with no external lookups. Up to 200 rows are supported per call.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-base-100-series-secondary-measure-weighted-mean-942a7cd5/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)