| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows autonomous agents to interact seamlessly across EVM and Solana networks by utilizing a unified API gateway. It employs a microservices architecture that routes requests through pre-defined integrator-fee structures on multiple venues like 0x and LI.FI, ensuring efficient transaction handling. The architecture supports real-time observability for ERC-4337 paymaster transactions, enhancing transparency and reliability in cross-chain operations.
Unique: Utilizes a microservices architecture with pre-baked fee routing for six venues, optimizing transaction efficiency across multiple blockchains.
vs alternatives: More efficient than traditional bridges due to integrated fee routing and real-time observability features.
This capability automates the routing of integrator fees across six different venues, allowing for dynamic fee management based on the best available rates. It leverages smart contracts to calculate and distribute fees automatically, ensuring that users always receive the most cost-effective transaction options. This approach minimizes manual intervention and enhances user experience by providing transparent fee structures.
Unique: Incorporates automated smart contract calculations for fee distribution, reducing manual overhead and enhancing efficiency.
vs alternatives: More transparent and automated than manual fee management solutions, reducing user error.
This capability provides real-time monitoring of ERC-4337 paymaster transactions, allowing developers to track and analyze transaction flows as they occur. It uses event-driven architecture to capture transaction events and display them through a user-friendly dashboard, enabling quick identification of issues or bottlenecks. This observability feature enhances the reliability of autonomous agents by ensuring that all transactions are accounted for and monitored.
Unique: Employs an event-driven architecture for real-time transaction monitoring, providing immediate feedback and insights.
vs alternatives: More responsive than traditional logging solutions, enabling proactive issue resolution.
This capability enables the seamless transfer of assets between EVM and Solana networks through a unified API. It utilizes atomic swaps and smart contracts to ensure that transactions are secure and irreversible, providing a reliable mechanism for users to bridge their assets without the risk of loss. The architecture is designed to handle multiple asset types, ensuring broad compatibility across different blockchain ecosystems.
Unique: Employs atomic swaps within a unified API framework, ensuring secure and efficient asset transfers across blockchain networks.
vs alternatives: More secure than traditional bridging methods due to the use of atomic swaps, reducing the risk of transaction failure.
This capability ensures that the gateway is compatible with the Token 2022 standard, allowing for easy integration and interaction with various token types across supported networks. It utilizes a modular design that can adapt to different token standards, providing flexibility for developers to work with both existing and emerging token types without extensive reconfiguration.
Unique: Utilizes a modular design that adapts to various token standards, enhancing flexibility and ease of integration.
vs alternatives: More adaptable than rigid token systems, allowing for seamless integration of new token types.
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.
Supabase scores higher at 42/100 vs agent-gateway at 26/100.
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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
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