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Agentik vs RELAI

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 RELAI
DetailAgentik logo AgentikRELAI logo RELAI
What it doesConnect your agent to 2,400+ tools through one MCP connection at provider prices The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inFR Not given
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 RELAI Free: $0. RELAI Enterprise: Custom pricing.
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
  • Capture signals from code, requirements, and production traces
  • Build and maintain EvalsWiki as versioned behavioral knowledge
  • Find missing eval coverage and unclear expectations
  • Generate complete evals with scenarios, environments, and evaluators
  • Optimize harness across prompts, tools, workflows, and code
  • Multi-objective optimization for quality, cost, latency, and KPIs
  • Model selection, migration, and routing with evaluation
  • Regression-controlled improvement with evaluation evidence
  • Versioned storage in repository with pull requests
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
  • Turns failures into replayable learning environments
  • Prevents regressions by keeping previous evals in the loop
  • Integrates with existing observability stacks and traces
  • Preserves business intelligence versioned in repository
  • Adapts harness to model changes without redefining use cases
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 check23 no change since last check
Trust Flow (Majestic)2713
Citation Flow (Majestic)3325
Referring domains (Majestic)5579

4 details filled in for both companies.

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