| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 14 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Fetches actor metadata from Apify's platform API via paginated requests (fetch_apify_actors.js), processes ~10,577 raw actors, filters out 79 test/placeholder entries, and stores normalized JSON in apify_actors.json. The system runs on a daily schedule to maintain currency without manual intervention, using direct API integration rather than web scraping the Apify platform itself.
Unique: Uses direct Apify platform API integration with pagination rather than web scraping, enabling reliable daily refresh of 10,498 production APIs with automated filtering of test actors — a rare approach for API directories that typically rely on manual curation or scraping.
vs alternatives: More maintainable than web-scraping-based API directories because it uses official Apify APIs, ensuring compatibility and reducing brittleness compared to regex-based HTML parsing approaches used by generic awesome-lists.
Transforms normalized JSON actor data into a hierarchical markdown documentation structure using generate_readme_clean.js. Generates a main README.md (10,498 entries) plus 18 category-specific subdirectories, each with its own README containing filtered API listings. Uses consistent markdown formatting and table-of-contents generation to enable both top-level browsing and deep category exploration.
Unique: Generates both a monolithic main README (10,498 entries) AND 18 category-specific READMEs from a single JSON source, enabling both comprehensive discovery and focused category browsing — most API directories choose one approach (either flat listing or category-only).
vs alternatives: Provides better GitHub UX than flat API lists (easier to navigate categories) while maintaining a complete reference document, whereas alternatives like Postman Collections or Swagger hubs require external tools to browse and don't integrate with GitHub's native markdown rendering.
Includes 2,652 Developer Tools APIs (25% of catalog) covering integrations, open source APIs, and infrastructure services. These APIs enable developers to extend Apify's capabilities, integrate with external systems (webhooks, databases, message queues), and build custom automation workflows using open source components.
Unique: Dedicates 2,652 APIs (25% of catalog) to developer tools and integrations, recognizing that extensibility is critical for enterprise adoption — most API directories do not explicitly surface integration and infrastructure APIs.
vs alternatives: Enables developers to build custom Apify workflows with external systems, whereas generic API directories require manual integration research.
Aggregates APIs for extracting content and media (news articles, blog posts, videos), news data (headlines, sources, sentiment), and employment data (job listings, salary information, company data) across 4 dedicated categories. These APIs enable content aggregation, news monitoring, job market analysis, and employment research without relying on official platform APIs.
Unique: Dedicates 4 separate categories (Content & Media, News, Jobs, Travel) to domain-specific data extraction, recognizing that content, news, and employment are distinct use cases — most API directories combine these under generic 'data extraction' categories.
vs alternatives: Provides specialized APIs for content and employment data extraction, whereas generic API directories require keyword search to find relevant tools.
Includes Travel APIs and Business APIs for extracting travel data (flights, hotels, reviews), business information (company data, financial information, market intelligence), and commerce data. These APIs enable travel price monitoring, business research, and market intelligence without relying on official platform APIs.
Unique: Includes dedicated Travel and Business categories reflecting Apify's strength in travel and commerce data extraction — most API directories do not specialize in travel data scraping.
vs alternatives: Provides specialized travel and business data extraction APIs, whereas generic API directories require keyword search to find relevant tools.
Includes SEO Tools APIs for extracting search engine data, keyword rankings, backlink information, and SEO metrics. These APIs enable SEO monitoring, competitor analysis, and search optimization without relying on official search engine APIs.
Unique: Includes dedicated SEO Tools category recognizing the importance of search optimization for digital marketing — most API directories do not specialize in SEO data extraction.
vs alternatives: Provides specialized SEO scraping APIs, whereas generic API directories require keyword search to find SEO tools.
Organizes 10,498 APIs into 18 functional categories (Automation, Lead Generation, Social Media, Developer Tools, E-commerce, AI & Intelligence, Real Estate, SEO Tools, Business, Content & Media, News, Jobs, Travel, Integrations, Open Source, MCP Servers, and Others) with each category containing a filtered README and direct links to Apify execution pages. Enables users to navigate by use case rather than platform, with category distribution showing Automation (46%), Lead Generation (33%), and Social Media (31%) as dominant categories.
Unique: Uses functional use-case categories (Automation, Lead Generation, Real Estate) rather than technical categories (REST, GraphQL, Webhooks) or platform categories (Twitter, LinkedIn, Amazon), making it accessible to non-technical users while maintaining technical precision for developers.
vs alternatives: More intuitive than RapidAPI or ProgrammableWeb which organize by API provider, and more comprehensive than vertical-specific directories because it covers 18 domains in a single unified catalog with consistent metadata.
Each API entry in the documentation includes a direct hyperlink to the actor's execution page on apify.com (format: apify.com/actors/{actor-id}), enabling users to launch the API without leaving the GitHub documentation. This integration pattern bypasses the need for API key management or local setup — users click a link and execute the actor directly on Apify's infrastructure with a web UI.
Unique: Provides direct hyperlinks to Apify's web UI execution pages rather than requiring users to copy actor IDs or manage API credentials, creating a frictionless discovery-to-execution flow that treats the GitHub catalog as a launchpad rather than just documentation.
vs alternatives: More accessible than API directories that require REST API integration (RapidAPI, ProgrammableWeb) because it enables no-code execution, while maintaining the ability to integrate programmatically for advanced users.
+6 more capabilities
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
API-mega-list scores higher at 47/100 vs Supabase at 42/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities