🚀 Awesome AI API Plus

A growth-first, API-first curated list for AI builders.
Different from generic awesome lists: we rank tools by integration speed, commercial readiness, cost efficiency, and developer ROI.

English | 中文

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Why this is different

Most awesome lists focus on breadth.
awesome-ai-api-plus focuses on what helps developers ship and grow faster:

• API-centric: prioritize tools with clear API docs and SDK quality
• Growth-centric: include SEO and distribution keyword packs
• Business-centric: evaluate pricing model and production viability
• Actionable: provide scripts and templates you can run immediately

Reference inspiration: Awesome-AITools

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Core scoring model (differentiator)

Each entry is scored 0-100:

Score = 30% Integration + 25% Output Quality + 20% Price Efficiency + 15% Reliability + 10% SEO Potential

Scoring dimensions

• Integration: API clarity, SDK support, sample availability
• Output Quality: model quality and consistency
• Price Efficiency: cost vs performance
• Reliability: uptime, rate-limit behavior, response stability
• SEO Potential: search demand for tool/category keywords

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Categories

• Video Generation APIs
• Music & Audio APIs
• Multimodal / LLM APIs
• Agent & Infra APIs
• Launch 30 APIs
• Top 10 Recommended APIs

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Repository structure

awesome-ai-api-plus/
├─ README.md
├─ data/
│  └─ apis-template.csv
├─ docs/
│  └─ categories/
│     ├─ video-generation.md
│     ├─ music-audio.md
│     ├─ multimodal-llm.md
│     └─ agent-infra.md
├─ seo/
│  ├─ keywords.md
│  └─ github-topics.txt
├─ examples/
│  ├─ README.md
│  ├─ python/score_tools.py
│  └─ nodejs/keyword_cluster.js
└─ .github/
   ├─ workflows/ci.yml
   └─ ISSUE_TEMPLATE/
      ├─ tool_submission.md
      └─ seo_request.md

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SEO pack included

• Keyword clusters by intent: informational / transactional / comparison
• Ready-to-use GitHub topics
• Repo naming suggestions for long-tail capture

See: seo/keywords.md and seo/github-topics.txt

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Quick start

1) Score candidate tools

python ./examples/python/score_tools.py

2) Build keyword clusters

node ./examples/nodejs/keyword_cluster.js

3) Add your first tool entry

Use the template in data/apis-template.csv, then submit via issue template.

4) Use launch dataset directly

• CSV: data/apis-launch-30.csv
• Markdown: docs/launch-30-apis.md

5) Generate Top 10 list

python ./examples/python/generate_top10.py

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Submission standard

To be accepted, a tool should include:

• Public docs or API reference
• Clear pricing (or transparent free tier)
• One runnable example
• At least one real-world use case

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Roadmap

• Auto-generate category pages from CSV
• Add monthly trend report for top APIs
• Add benchmark scripts for latency/cost snapshots
• Add Chinese and English mirrored index pages

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License

MIT