# Bundle Sales String Normalisation and Keyed Dataset Comparison

> Bundle Sales String Normalisation and 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 2026-10-26).

Performs string normalisation and keyed dataset comparison on two sets of bundle sales records (bundles_sold, component_units) for up to 200 rows each, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-15-036?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/bundle-sales-string-normalisation-and-keyed-dataset-comparison-489b1fe4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UwWOJjxy5y1EKnWo4rF6q

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 bundle-sales-string-normalisation-and-keyed-dataset-comparison-489b1fe4 -d '<json body>'
```

Example prompt: I have two sets of bundle sales records — one from our warehouse system and one from POS — each with row_id, store_group, date, bundles_sold, and component_units. Can you run string normalisation and keyed dataset comparison on both to find where they differ? I'll give you up to 200 rows in each dataset.

## When to prefer this

Choose this endpoint when you need both string normalisation and keyed row-level comparison on bundle sales data (bundles_sold, component_units) in a single low-cost call. It is purpose-built for retail bundle data reconciliation and returns two independent reports for up to 200 rows at $0.01 USDC. Prefer it over generic data tools when your data specifically contains bundle and component unit fields keyed by row_id and store_group.

## Known failure modes

- Exceeding 200 rows in either array returns a validation error
- Missing required fields (row_id, store_group, date, bundles_sold, component_units) causes row rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Submitting only one dataset without the other may produce an incomplete comparison report
- Numeric values outside the allowed range cause validation errors

## How this service works

Bundle sales — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied bundle sales records (bundles_sold, component_units). 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 2 independent reports: (1) a string normalisation report covering the store_group and related text fields across the submitted rows, and (2) a keyed dataset comparison report identifying matching, differing, and missing rows between the two supplied datasets based on row_id keys, with field-level discrepancies in bundles_sold and component_units highlighted.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "bundles_sold",
     "component_units"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bundles_sold": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "component_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "bundles_sold": 10,
     "component_units": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "bundles_sold": 20,
     "component_units": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "bundles_sold": 15,
     "component_units": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "bundles_sold": 30,
     "component_units": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "bundles_sold",
     "component_units"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bundles_sold": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "component_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": 
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/bundle-sales-string-normalisation-and-keyed-dataset-comparison-489b1fe4/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)