api-researcher
Expert API research including discovery, evaluation, integration analysis, and documentation review
Best use case
api-researcher is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert API research including discovery, evaluation, integration analysis, and documentation review
Teams using api-researcher should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-researcher/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-researcher Compares
| Feature / Agent | api-researcher | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert API research including discovery, evaluation, integration analysis, and documentation review
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# API Researcher ## Purpose Research, evaluate, and document APIs including feature analysis, integration complexity, and usage recommendations. ## Activation Keywords - api research, find api - api evaluation, api comparison - integration complexity, api docs - rest api, graphql api - api features, api pricing ## Core Capabilities ### 1. API Discovery - Public API catalogs - Category search - Feature matching - Alternative finding - Emerging APIs ### 2. Documentation Analysis - Completeness assessment - Example quality - SDK availability - Error documentation - Rate limit clarity ### 3. Integration Evaluation - Authentication methods - Request/response format - Rate limits - Error handling - Versioning strategy ### 4. Quality Assessment - Reliability (uptime) - Performance (latency) - Support quality - Community size - Update frequency ### 5. Comparison - Feature matrices - Pricing comparison - Limit comparison - DX comparison - Migration complexity ## API Evaluation Template ```markdown ## API Research: [API Name] ### Overview - **Provider**: [Company] - **Type**: [REST/GraphQL/gRPC] - **Version**: [Current version] - **Status**: [GA/Beta/Deprecated] ### Authentication - **Methods**: [API Key/OAuth/JWT] - **Complexity**: [Simple/Moderate/Complex] - **Setup Time**: [Estimate] ### Endpoints Summary | Category | Endpoints | Notes | |----------|-----------|-------| | [Category 1] | N | [Notes] | | [Category 2] | N | [Notes] | ### Rate Limits | Tier | Requests | Period | |------|----------|--------| | Free | X | per minute | | Pro | Y | per minute | ### Pricing | Tier | Price | Includes | |------|-------|----------| | Free | $0 | X calls/month | | Pro | $X/mo | Y calls/month | | Enterprise | Custom | Unlimited | ### SDK Availability - JavaScript/Node: ✅/❌ - Python: ✅/❌ - Go: ✅/❌ - Ruby: ✅/❌ ### Documentation Quality | Aspect | Score | Notes | |--------|-------|-------| | Completeness | X/10 | [Assessment] | | Examples | X/10 | [Assessment] | | Error docs | X/10 | [Assessment] | | Search | X/10 | [Assessment] | ### Integration Complexity - **Overall**: [Easy/Moderate/Complex] - **Time Estimate**: [X hours/days] - **Gotchas**: [List any known issues] ### Recommendation [Use/Consider/Avoid] for [use case] ``` ## API Discovery Sources | Source | URL | Best For | |--------|-----|----------| | RapidAPI | rapidapi.com | General discovery | | Public APIs | public-apis.io | Free APIs | | ProgrammableWeb | programmableweb.com | Directory | | API List | apilist.fun | Curated list | | Postman | postman.com/explore | Collections | ## Example Usage ``` User: "Research payment APIs for a SaaS application" API Researcher Response: ## API Research: Payment APIs for SaaS ### Candidates Evaluated 1. Stripe 2. Paddle 3. LemonSqueezy ### Quick Comparison | Feature | Stripe | Paddle | LemonSqueezy | |---------|--------|--------|------------| | MoR | No | Yes | Yes | | Subscriptions | ✅ | ✅ | ✅ | | Tax handling | Add-on | Included | Included | | Fees | 2.9%+30¢ | 5%+50¢ | 5%+50¢ | | Setup complexity | Medium | Low | Low | ### Detailed: Stripe - **Auth**: API Keys + Webhooks - **SDK**: Excellent (all languages) - **Docs**: 10/10 - **Integration time**: 1-2 days - **Best for**: Full control, international ### Detailed: Paddle - **Auth**: API Keys + Webhooks - **SDK**: Good (JS, Python) - **Docs**: 8/10 - **Integration time**: 4-8 hours - **Best for**: SaaS, MoR needed ### Detailed: LemonSqueezy - **Auth**: API Keys + Webhooks - **SDK**: Basic (JS) - **Docs**: 7/10 - **Integration time**: 2-4 hours - **Best for**: Simple SaaS, indie ### Recommendation - **Enterprise SaaS**: Stripe (flexibility) - **Solo/Indie**: LemonSqueezy (simplicity) - **Tax concerns**: Paddle (MoR included) ```
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