exa-search

Queries Exa Search API returning batched source-backed JSON with metadata and highlights.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/neilsanghrajka/drip --skill exa-search-neilsanghrajka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/neilsanghrajka/drip/tree/main/agent/codex-agent/.agents/skills/exa-search
Command: npx skills add https://github.com/neilsanghrajka/drip --skill exa-search-neilsanghrajka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers and product teams need fast, source-backed answers from dispersed web content without manual sifting.

Core Features & Use Cases

  • Authenticated access to Exa Search API with clear request guidance and compact evidence.
  • Parallelizable queries with configurable date ranges, result counts, and highlights for efficient research.
  • Use Case: Quickly assemble source-backed summaries for market research, competitive intel, or trend validation.

Quick Start

Ask Exa Search to run a caller-provided query and return concise evidence.

Frequently Asked Questions about exa-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve source-backed web search results for data research?

To retrieve source-backed web search results, you query the Exa Search API to return concise evidence, including titles, URLs, published dates, and content highlights. This provides fast, source-backed answers without manual sifting.

Can I run parallel web search queries with date filtering?

Yes, you can run parallel web search queries with configurable date ranges. The skill supports batched parallel calls, allowing you to specify result counts and extract content highlights efficiently across multiple queries.

How do I safely handle API keys for web search automation?

You handle API keys safely by using the skill's built-in secure authentication mechanism. It ensures safe handling of API keys during Exa Search API requests, preventing exposure while returning compact JSON payloads.

What is the best way to get compact evidence from web search for competitive intel?

The best way to get compact evidence is to use a search method that returns a condensed JSON payload. It includes source, queriesRun, evidence with highlight and sourceDomain, and errors, ideal for competitive intel.

Does this web search tool work without external dependencies?

Yes, this web search tool operates without external dependencies. It independently authenticates and queries the Exa Search API to surface compact evidence, requiring no additional frameworks or modules to function.