composio-exa

Exa AI-native semantic search via Composio API. Use when: (1) Searching the web with natural language queries (2) Getting citation-backed answers to research questions (3) Finding pages similar to a given URL (4) Retrieving full content from search results Exa understands meaning - queries don't need exact keyword matches.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "composio-exa" with this command: npx skills add prashaantr/teach-claude-something-new/prashaantr-teach-claude-something-new-composio-exa

Exa Search via Composio

Exa is an AI-native search engine that understands meaning. Unlike keyword search, Exa finds what you're looking for even if your query doesn't match exact words on the page.

Environment

COMPOSIO_API_KEY      # API key
COMPOSIO_USER_ID      # Entity ID (required for all requests)
COMPOSIO_CONNECTIONS  # JSON with .exa connection ID

Core Pattern

CONNECTION_ID=$(echo $COMPOSIO_CONNECTIONS | jq -r '.exa')

curl -s "https://backend.composio.dev/api/v3/tools/execute/ACTION_NAME" \
  -H "x-api-key: $COMPOSIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "connected_account_id": "'$CONNECTION_ID'",
    "entity_id": "'$COMPOSIO_USER_ID'",
    "arguments": {}
  }' | jq '.data'

Quick Start

# Semantic search
curl -s "https://backend.composio.dev/api/v3/tools/execute/EXA_SEARCH" \
  -H "x-api-key: $COMPOSIO_API_KEY" -H "Content-Type: application/json" \
  -d '{
    "connected_account_id": "'$CONNECTION_ID'",
    "entity_id": "'$COMPOSIO_USER_ID'",
    "arguments": {
      "query": "best practices for building AI agents",
      "numResults": 10,
      "type": "auto"
    }
  }' | jq

# Get citation-backed answer
curl -s "https://backend.composio.dev/api/v3/tools/execute/EXA_ANSWER" \
  -H "x-api-key: $COMPOSIO_API_KEY" -H "Content-Type: application/json" \
  -d '{
    "connected_account_id": "'$CONNECTION_ID'",
    "entity_id": "'$COMPOSIO_USER_ID'",
    "arguments": {
      "query": "What are the key differences between RAG and fine-tuning?"
    }
  }' | jq

Query Tips

Exa understands natural language. Write queries as if asking a knowledgeable person:

Instead ofTry
"LLM fine tuning""tutorials on how to fine-tune large language models"
"react hooks""best practices for using React hooks in production"
"startup funding""guides for raising seed funding for AI startups"

Best Practices

  1. Use EXA_ANSWER for questions: When you need a direct answer with citations
  2. Use EXA_SEARCH for exploration: When you need multiple results to analyze
  3. Be specific: "Python libraries for PDF text extraction" > "PDF Python"
  4. Use filters: Narrow by domain or date for recent/authoritative sources

All Actions

See references/actions.md for complete API reference including:

  • EXA_SEARCH: Semantic web search with filtering
  • EXA_ANSWER: Citation-backed answers to questions
  • EXA_FIND_SIMILAR: Find pages similar to a URL
  • EXA_GET_CONTENTS_ACTION: Get full content from results

Discover Actions

curl -s "https://backend.composio.dev/api/v2/actions?apps=exa" \
  -H "x-api-key: $COMPOSIO_API_KEY" | jq '.items[] | {name, description}'

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

composio-linear

No summary provided by upstream source.

Repository SourceNeeds Review
General

discord

No summary provided by upstream source.

Repository SourceNeeds Review
General

composio-drive

No summary provided by upstream source.

Repository SourceNeeds Review
General

telegram

No summary provided by upstream source.

Repository SourceNeeds Review