# Data Reconciliation — String Normalisation + Secondary-Measure Weighted Mean

> Data Reconciliation — String Normalisation + 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 2026-10-24).

Normalises string fields and computes a secondary-measure weighted mean across supplied source/target reconciliation rows (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-string-normalisation-secondary-measure-weighted-9ff88ca4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NfH1QnrylleDaaEUccBxj

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-string-normalisation-secondary-measure-weighted-9ff88ca4 -d '<json body>'
```

Example prompt: Can you reconcile these 4 rows of source and target totals for groups A and B from October 2026 — run string normalisation and give me the secondary-measure weighted mean report on the source_total field? Rows: row-1 (2026-10-01, group-a, source 10, target 1), row-2 (2026-10-02, group-b, source 20, target 2), row-3 (2026-10-03, group-a, source 15, target 3), row-4 (2026-10-04, group-b, source 30, target 4).

## When to prefer this

Choose this endpoint when you need local, offline-style string normalisation combined with secondary-measure weighted mean analytics on reconciliation data (source vs target totals) without any external API calls, live lookups, or AI predictions. It is well-suited for batch reconciliation jobs of up to 200 rows where you want two standardised analytical reports in a single $0.01 call. Prefer alternatives if you need row counts above 200, live data enrichment, or prediction-based anomaly detection.

## Known failure modes

- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — row rejected
- Date field not matching YYYY-MM-DD pattern — validation failure
- source_total or target_total outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — minimum 1 item required
- Invalid field enum value (not 'source_total' or 'target_total') — schema error
- Payment failure or insufficient USDC balance — call not processed

## How this service works

Data reconciliation — String normalisation + Secondary-measure weighted mean: String normalisation + 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 per call: (1) a string-normalised view of the submitted reconciliation rows and (2) a secondary-measure weighted mean computed over the chosen field (source_total or target_total), grouped across the provided dataset_group and date dimensions. No external lookups or predictions are included — all computation is local and based solely on the supplied data.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-string-normalisation-secondary-measure-weighted-9ff88ca4/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)