# Data Reconciliation — String Normalisation + Keyed Dataset Comparison

> Data Reconciliation — String Normalisation + Keyed Dataset Comparison 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).

Compares two keyed datasets (source vs target totals) across up to 200 rows using string normalisation and side-by-side analytical reconciliation, returning two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-036?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-string-normalisation-keyed-dataset-comparison-79431f7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_98UDzdfa3SxrKIb16uHgj

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-keyed-dataset-comparison-79431f7f -d '<json body>'
```

Example prompt: Reconcile these two datasets for me — I have a 'rows' set and an 'other' set, each with up to 50 rows keyed by row_id, dataset_group, and date, with source_total and target_total values. Can you run string normalisation and a keyed comparison across both datasets and give me two independent reports showing where they diverge?

## When to prefer this

Choose this endpoint when you need a local, offline-style reconciliation of two keyed datasets (up to 200 rows each) with string normalisation applied to grouping keys, and you want two independent analytical reports in a single call for $0.01 USDC. It is ideal for ETL validation, financial close reconciliation, and data migration audits where no external data lookup, prediction, or live system access is required.

## Known failure modes

- Input arrays exceed 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- Numeric totals outside ±1,000,000,000,000 range will be rejected
- Empty rows array (minItems:1 not satisfied) returns error
- Malformed JSON body returns 400-class error

## How this service works

Data reconciliation — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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

Two independent reconciliation reports covering: string-normalised row keys, keyed dataset comparison between the 'rows' and 'other' inputs, row-level source_total vs target_total diffs, group-level and date-level summaries of discrepancies, and any rows that are present in one dataset but missing from the other. No external lookups or predictions are made — all analysis is performed locally 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_total": 10,
     "target_total": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_total": 20,
     "target_total": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_total": 15,
     "target_total": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_total": 30,
     "target_total": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": [
    {

… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-string-normalisation-keyed-dataset-comparison-79431f7f/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)