# Compare Two Research Searches Side by Side

**Use case:** 

Run two academic searches and see which finds the better open-access corpus: PDF availability, duplicates, readiness, health, and an overall winner.

## Input

```json
{
  "query": "retrieval augmented generation",
  "researchPreset": "none",
  "titleOnly": false,
  "fullTextOnly": false,
  "maxResults": 25,
  "pdfVerification": "none",
  "dropFiltered": false,
  "dedupeMode": "doi",
  "watchlistMode": "flag-all",
  "compareQuery": "agentic RAG",
  "outputMode": "benchmark",
  "outputProfile": "standard"
}
```

## Output

```json
{
  "metric": {
    "label": "Metric",
    "format": "string"
  },
  "queryA": {
    "label": "Query A",
    "format": "string"
  },
  "queryB": {
    "label": "Query B",
    "format": "string"
  },
  "winner": {
    "label": "Winner",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [CORE Open Access Paper Search](https://apify.com/ryanclinton/core-academic-search) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ryanclinton/core-academic-search) to learn more, explore other use cases, and run it yourself.