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AI-Atlas vs Captapi
Focuses on mapping AI skills, not social media data extraction.
AI-AtlasMap your AI skills from your GitHub code
CaptapiOne API + MCP server for public social media dataWhich to pick
Pick AI-Atlas if you want…
- Skill mapping from public code
- AI skill inventory
- Integrations with GitHub (on AI-Atlas' list, not Captapi's)
Pick Captapi if you want…
- Unified social media data API
- Open-source code (CDCStream/captapi-mcp on GitHub, MIT license)
- Integrations with REST, MCP server or Claude (on Captapi's list, not AI-Atlas')
Side by side
- What it is
- AI-Atlas:AI-Atlas scans public GitHub repos to score and map AI engineering skills across six domains.
- Captapi:Captapi offers a single REST API and MCP server to fetch structured public social media data from 33 platforms.
- Best for
- AI-Atlas:Skill mapping from public code
- Captapi:Unified social media data API
- Who it’s for
- AI-Atlas:Developers who want to showcase and benchmark their AI project experience.
- Captapi:Developers, AI agents, marketers and researchers who need cross-platform social media data.
- Pricing
- AI-Atlas:Freemium
- Captapi:Freemium
- Plans
- AI-Atlas:Free $0 · 5 credits $3 one-time · 15 credits $7 one-time · 40 credits $15 one-time
- Captapi:Free $0 · Starter $9 per month · Pro $27 per month · Business $90 per month
- Open source
- AI-Atlas:—
- Captapi:Yes, 0 GitHub stars
- Works with
- AI-Atlas:GitHub
- Captapi:REST, MCP server, Claude, Cursor, VS Code, n8n, Python, Node
AI-Atlas features
- Score per AI field. Assigns a score for each of six AI fields based on the code you actually wrote.
- Live README card. One line of markdown puts your Atlas on your GitHub profile, and it updates every time you rescan.
- Evidence behind every score. Each project score links to the files and code that support it, so you can see exactly why it scored the way it did.
- Global & local leaderboards. Verified owners are ranked worldwide and within their country, by the evidence in their code rather than followers or stars.
- Improvement predictor. Shows which change would raise each project’s score the most, so you know what to work on next.
- Roadmaps and what-if scenarios. Turn a project’s evidence into a prioritized improvement roadmap, or estimate how much one specific improvement would raise its score.
- Verified facts before judging. Before the AI reads anything, the scanner checks what can be proven: whether notebooks were actually run, whether tests import real modules and what CI really executes.
- Fixed scoring formula. The AI only rates each project on a 7-part rubric. A fixed, published formula turns those ratings into the score, so no README can talk its way up.
Captapi features
- 179 endpoints across 33 platforms. Access posts, comments, profiles, transcripts, metrics and ad libraries with one API key.
- AI-powered video summaries. GPT-4o-mini generates key points, topics and sentiment for YouTube videos.
- 24-hour shared cache. Add cache=true for instant, free cached responses.
- MCP server integration. Connect to Claude, Cursor or VS Code via OAuth or API key for AI-agent workflows.
- Credit-based billing. Pay only for successful data extraction; failed or empty requests cost 0 credits.
- Developer-first design. Plain REST, no OAuth, with SDKs for Python, Node and PHP (coming soon) and an n8n node.
AI-Atlas vs Captapi FAQ
Is AI-Atlas or Captapi free?+
AI-Atlas has a free plan and paid plans. Captapi has a free plan; paid plans start at $9/month (Starter).
Is AI-Atlas or Captapi open source?+
Captapi is open source (CDCStream/captapi-mcp on GitHub, MIT license). DevHunt has no public source repository on record for AI-Atlas.
Do AI-Atlas and Captapi integrate with the same tools?+
Their integration lists don't overlap: AI-Atlas lists GitHub; Captapi lists REST, MCP server, Claude, Cursor and 5 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.