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| Match Graph | 0 | 0 |
| Pricing | Paid | Free |
| Capabilities | 11 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Connects to Google Ads, Microsoft Ads, and Meta Ads APIs to ingest account configuration, targeting, and delivery data, then runs rule-based and statistical analysis to identify configuration issues, misaligned settings, and optimization gaps. Outputs a prioritized health score and actionable fix recommendations within minutes. Uses account-level metrics (CPA, CPC, spend, CTR) and configuration snapshots to detect anomalies against platform best practices.
Unique: Unified audit across three major PPC platforms (Google, Microsoft, Meta) in a single report, eliminating need to manually review each platform's native audit tools separately. Prioritizes findings by severity and cross-platform patterns rather than platform-specific issues.
vs alternatives: Faster than manual audits across three platforms and more comprehensive than single-platform native audits, but less detailed than hiring a PPC consultant for custom analysis
Generates automated performance reports on a user-defined schedule (monthly, weekly, or daily depending on tier) by aggregating metrics from connected PPC accounts and web analytics sources. Reports include ROAS, CPA, CPC, spend, conversion data, and web engagement metrics. Delivers via email or dashboard access with optional white-label branding for client-facing use. Implements batch processing on a fixed schedule rather than real-time computation.
Unique: Combines PPC metrics (Google, Microsoft, Meta) with web analytics in a single branded report, eliminating need to manually compile data from multiple sources. White-label branding at Silver tier enables agencies to present reports as their own work.
vs alternatives: Faster than manual report compilation but less flexible than custom BI tools like Looker or Tableau; better for recurring client deliverables than ad-hoc analysis
Routes alerts, reports, and notifications to Slack channels or email addresses based on user configuration. Supports multiple notification types (alerts, reports, recommendations) with separate delivery channels per notification type. Implements message formatting for Slack (rich text, buttons, links) and email (HTML templates). Allows users to subscribe/unsubscribe from specific notification types without disconnecting accounts.
Unique: Slack integration at Silver tier (vs. email-only at Free) enables real-time alert delivery to team channels, integrating PPC monitoring into existing communication workflows. Supports multiple notification types with separate delivery channels.
vs alternatives: More convenient than manual Slack posting but less flexible than custom webhooks or Zapier integrations; suitable for standard alert/report delivery
Monitors PPC account metrics (CPA, CPC, spend, conversion rate) against user-defined or pre-built thresholds and triggers notifications via email or Slack when anomalies are detected. Free tier includes 3 pre-built alert templates; Silver/Gold tiers unlock custom rule creation. Alerts are evaluated on a schedule (frequency not disclosed, likely daily or hourly) rather than in real-time. Supports 30+ pre-built alert templates covering common PPC risks (budget overspend, CPA spike, low CTR, etc.).
Unique: Pre-built alert templates (30+) for common PPC risks reduce setup friction for new users, while custom rule creation (Silver+) enables power users to define business-specific thresholds. Multi-channel delivery (email + Slack) integrates alerts into existing team workflows.
vs alternatives: More accessible than building custom monitoring in Google Sheets or Data Studio, but less flexible than programmatic alerting via APIs or custom scripts
Analyzes performance data across connected PPC accounts to identify underperforming campaigns, budget allocation gaps, and missed optimization opportunities. Uses statistical comparison (e.g., ROAS variance across campaigns, CPA outliers) and heuristic scoring to rank opportunities by impact. Generates monthly/weekly/daily opportunity lists with specific recommendations (e.g., 'increase budget for Campaign X — ROAS 5x higher than average'). Does not execute changes; users manually apply recommendations.
Unique: Aggregates opportunity identification across three PPC platforms in a single prioritized list, eliminating need to manually compare performance across Google Ads, Microsoft Ads, and Meta Ads separately. Heuristic scoring ranks opportunities by estimated impact rather than raw metrics.
vs alternatives: Faster than manual analysis but less actionable than AI-powered bid management tools (e.g., Optmyzr, Marin) that execute recommendations automatically
Tracks daily spend across connected PPC accounts against monthly budget targets and alerts users to pacing issues (e.g., 'on track to exceed budget by 15% this month'). Aggregates spend from Google Ads, Microsoft Ads, and Meta Ads into a unified dashboard view. Monitors for anomalies (sudden spend spikes) and provides daily/weekly spend summaries. Implements continuous polling of PPC platform APIs to fetch latest spend data, though actual latency depends on platform API refresh rates (typically 6-24 hours behind real-time).
Unique: Unifies spend tracking across three PPC platforms in a single dashboard with pacing alerts, eliminating need to manually check each platform's budget status. Provides daily spend summaries aggregated across accounts.
vs alternatives: More convenient than checking each platform separately but less real-time than platform-native budget alerts due to API latency; better for multi-platform visibility than single-platform tools
Analyzes Meta Ads (Facebook/Instagram) account targeting configuration to identify underutilized audience segments, lookalike audience opportunities, and targeting misalignments. Assesses audience quality metrics (audience size, overlap, relevance) and recommends audience expansion or consolidation strategies. Provides Meta-specific optimization recommendations (e.g., 'expand age targeting to 25-44 to reach similar high-intent users'). Integrates with Meta Ads API to fetch audience and targeting data.
Unique: Dedicated Meta Ads targeting analysis (not available for Google or Microsoft) identifies audience gaps and quality issues specific to Meta's targeting model. Provides Meta-specific recommendations rather than generic PPC optimization advice.
vs alternatives: More targeted than generic PPC audits but less comprehensive than Meta's native Ads Manager insights; useful for identifying gaps that Meta's native tools don't surface
Tracks website engagement metrics (page load time, bounce rate, time on page, conversion rate) and generates reports on web performance and user experience. Integrates with website analytics data (mechanism not disclosed — likely pixel-based, API-based, or manual upload) to provide insights into how ad traffic translates to on-site behavior. Includes SEO metrics reporting (rankings, traffic, backlinks) as secondary feature. Delivers metrics via dashboard and scheduled reports.
Unique: Combines PPC campaign metrics with website engagement and SEO metrics in a single platform, providing full-funnel visibility from ad click to on-site conversion. Eliminates need to switch between ad platforms and analytics tools.
vs alternatives: More convenient than manual Google Analytics review but less detailed than native analytics platforms; useful for high-level funnel visibility rather than deep-dive analysis
+3 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.
Supabase scores higher at 42/100 vs Adzooma at 21/100. Adzooma leads on quality, while Supabase is stronger on ecosystem. Supabase also has a free tier, making it more accessible.
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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