deep-research-api-landscape
CommunityChoose the best Deep Research API for automation.
Authorshimo4228
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Building automated research workflows often requires juggling multiple APIs and browser automation, which can raise ToS risks and integration complexity.
Core Features & Use Cases
- Official Deep Research APIs from OpenAI, Gemini, and Perplexity provide structured access for automated research.
- Compare models, pricing, latency, and reliability to design robust data pipelines; apply to literature discovery, data-gathering, and competitive-intelligence tasks.
- Use Case: When building an automated research system, generate structured summaries and verified sources across multiple providers.
Quick Start
Evaluate three providers and document endpoints, models, pricing, and usage considerations for your research workflow.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deep-research-api-landscape Download link: https://github.com/shimo4228/claude-code-learned-skills/archive/main.zip#deep-research-api-landscape Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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