Daum Toy Search

High-performance, multi-source Korean search API aggregating Daum/Kakao News, Encyclopedia, and Web results in a Perplexity-compatible format.

The daum-toy-search skill enables high-performance, multi-source Korean web search powered by the Daum/Kakao index. It is fully compatible with the Perplexity Search API format and includes intelligent 3x Jaccard reranking by default.

Search

bash

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 5
node {baseDir}/scripts/search.mjs "query" --sources news,web

Options

• -n <count>: Target number of results (default: 10, max: 50).
• --sources <sources>: Comma-separated list of sources to include (news, dic, web). Default is all three.
• --no-reranking: Disable Jaccard keyword overlap reranker.

Setup

bash

openclaw config set skills.entries.daum-toy-search.apiKey "your-api-key"

Notes:

• Requires DAUM_TOY_SEARCH_API_KEY from your environment.
• Sub-400ms average latency powered by Go concurrency.
• Intelligent reranking automatically fetches 3x results and uses keyword overlap scoring.
• Returns clean, fully structured JSON hits ready for AI agents.

You can use curl to query the API from your OpenClaw agents:

bash

curl -s -X POST "https://daum-perplexity-search-adapter.toy.x.upstage.ai/search" \
     -H "Authorization: Bearer $DAUM_TOY_SEARCH_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "query": "인공지능 트렌드",
       "max_results": 5,
       "search_sources": ["news", "dic", "web"],
       "reranking": "on"
     }'

The response is a JSON object containing a results array with the search hits.

Output Format

The search.mjs script outputs concise, formatted Markdown suitable for direct ingestion by AI agents:

markdown

## Search Results for "인공지능 트렌드"

### 1. [업스테이지, '솔라' 한국형 LLM 성능 입증](https://news.daum.net/...)
**Source:** news | **Date:** 2026-03-09
업스테이지의 솔라 모델이 벤치마크 테스트에서...