awesome-ai-api-plus
π 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 | δΈζ |
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
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
Categories
- Video Generation APIs
- Music & Audio APIs
- Multimodal / LLM APIs
- Agent & Infra APIs
- Launch 30 APIs
- Top 10 Recommended APIs
Repository structure
awesome-ai-api-plus/
ββ README.md
ββ data/
β ββ apis-template.csv
ββ docs/
β ββ categories/
β ββ video-generation.md
β ββ music-audio.md
β ββ multimodal-llm.md
β ββ agent-infra.md
ββ seo/
β ββ keywords.md
β ββ github-topics.txt
ββ examples/
β ββ README.md
β ββ python/score_tools.py
β ββ nodejs/keyword_cluster.js
ββ .github/
ββ workflows/ci.yml
ββ ISSUE_TEMPLATE/
ββ tool_submission.md
ββ seo_request.md
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
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
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
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