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Agentik vs Exabase

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Agentik compared with Exabase
DetailAgentik logo AgentikExabase logo Exabase
What it doesConnect your agent to 2,400+ tools through one MCP connection at provider prices Context infrastructure for AI agents
StageNot given Startup
FoundedNot given Not given
Based inFR GB
Pricing modelNot given Freemium
PricingFree tier with access to free tools and optional $5 promotional credit. Pay-as-you-go with no platform fee on first top-up of $10 or less; 5.5% platform fee (minimum $0.80) on larger first top-ups and subsequent top-ups. Tool calls charged at provider's price with 0% markup. Example prices: Google s Not given
Key features
  • Access to 2,436 tools from 52 providers
  • Support for Claude, ChatGPT, Codex and Cursor
  • Price preview before tool execution
  • Per-call billing at provider prices with 0% markup
  • Spending caps per hour, day, lifetime and per tool
  • 113 playbooks for common tasks
  • Tools across social media, ads, search and company data
  • Single prepaid balance across all providers
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
What makes it different
  • One prepaid balance eliminates need for separate accounts with 25+ providers
  • 0% markup on all tool calls - pay provider prices directly
  • Price transparency with cost shown before execution
  • Granular spending controls per key, hour, day and tool
  • Pre-built playbooks reduce setup time for common workflows
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)37 −1 (down) since last check29 no change since last check
Trust Flow (Majestic)2711
Citation Flow (Majestic)3332
Referring domains (Majestic)55122

4 details filled in for both companies.

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