# Supplier Fill Deduplication and Two-Measure Correlation

> Supplier Fill Deduplication and Two-Measure Correlation 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).

Deduplicates up to 200 supplier fill rows and computes a two-measure correlation between ordered_units and received_units, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-06-050?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/supplier-fill-deduplication-and-two-measure-correlation-ec8e6e54
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5z3LN2JhdlcNyRXx5QqmB

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 supplier-fill-deduplication-and-two-measure-correlation-ec8e6e54 -d '<json body>'
```

Example prompt: Can you deduplicate my supplier fill records and check how correlated ordered_units and received_units are? I have about 150 rows with row_id, store_group, date, ordered_units, and received_units — give me both the dedup report and the correlation report.

## When to prefer this

Choose this endpoint when you have supplier fill tabular data (ordered vs. received units by store group and date) and need both exact duplicate removal and a correlation analysis in a single call for up to 200 rows. It is best suited for offline/batch analytical workflows where you supply your own data and do not need live external data enrichment, predictions, or professional assessment. Prefer this over general-purpose analytics tools when you want a low-cost ($0.01 USDC), self-contained two-report output specifically designed for retail supplier fill data structures.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, ordered_units, received_units) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- All rows are duplicates, leaving insufficient data for correlation computation
- ordered_units or received_units are null for all rows, making correlation impossible
- Payment of 0.01 USDC not provided — x402 payment required error

## How this service works

Supplier fill — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied supplier fill records (ordered_units, received_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 two reports: (1) a deduplication report identifying and removing exact duplicate rows from the supplied dataset (up to 200 rows), and (2) a correlation report quantifying the statistical relationship between ordered_units and received_units across the deduplicated data. No external lookups or predictions are made; all computation is performed locally on the submitted records.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "ordered_units",
     "received_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
     },
     "ordered_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "received_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "ordered_units": 10,
     "received_units": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "ordered_units": 20,
     "received_units": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "ordered_units": 15,
     "received_units": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "ordered_units": 30,
     "received_units": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-fill-deduplication-and-two-measure-correlation-ec8e6e54/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)
