ForgeMesh Labs vs RELAI

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

ForgeMesh Labs compared with RELAI
Detail	ForgeMesh Labs	RELAI
What it does	Pay-per-crawl infrastructure for AI agents across ten web stacks	The continual learning engine for AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Paid	Freemium
Pricing	API services priced from $0.005 per call in USDC. Pro plan $4.99 per month for up to 5 sites. x402 Starter Kit from $49.	RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features	HTTP 402 payment gating across ten web stacks Direct wallet payments with no custody or intermediaries Support for WordPress, Drupal, Laravel, Next.js, Node, Cloudflare, nginx, Caddy, Traefik and Python Shared crawler catalog with 85 agents USDC payments on Base mainnet Pro dashboard with paywall monitoring and crawler intel Discovery files including /.well-known/x402.json, llms.txt and agents.txt PayAI default facilitator with support for custom facilitators Published to npm, PyPI, Packagist and drupal.org	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	Single identical payment gate that works across ten different web stacks without requiring accounts or API keys 100% of payments go directly to site owners' wallets with no custody or intermediaries Runs by one person with nineteen live paid services and no outside capital All services self-serve and automated by design with on-chain settlement	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	26 −1 (down) since last check	23 no change since last check
Trust Flow (Majestic)	6	13
Citation Flow (Majestic)	34	25
Referring domains (Majestic)	168	79

5 details filled in for both companies.

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