# Cardmarket repricing suggestions from a stock export

**Use case:** 

A worked example: three cards priced out of line with the Cardmarket trend, each with the reference price, the suggested price and the rule that decided.

## Input

```json
{
  "stockCsv": "idProduct;idArticle;name;expansion;condition;language;isFoil;quantity;price\n265333;900001;Charizard ex;Obsidian Flames;NM;1;0;1;2.00\n547177;900002;Pikachu ex;Surging Sparks;NM;1;0;2;80.00\n725830;900003;Iono;Paldea Evolved;EX;1;1;1;12.00\n",
  "game": "pokemon",
  "reference": "trend",
  "undercutPct": 5,
  "undercutCents": 0,
  "floorPct": 60,
  "minPriceEur": "0.02",
  "maxChangePct": 25,
  "roundToCents": 1,
  "onlyChanged": false,
  "maxItems": 5000
}
```

## Output

```json
{
  "cardName": {
    "label": "Card name",
    "format": "string"
  },
  "condition": {
    "label": "Condition",
    "format": "string"
  },
  "currentPriceEur": {
    "label": "Current price eur",
    "format": "number"
  },
  "referencePriceEur": {
    "label": "Reference price eur",
    "format": "number"
  },
  "suggestedPriceEur": {
    "label": "Suggested price eur",
    "format": "number"
  },
  "changePct": {
    "label": "Change pct",
    "format": "number"
  },
  "reason": {
    "label": "Reason",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Cardmarket Repricer - Find Every Mispriced Card You Sell](https://apify.com/lowlanddata/cardmarket-repricer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lowlanddata/cardmarket-repricer.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/lowlanddata/cardmarket-repricer.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
