Humanbound vs Oqoqo

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

Humanbound compared with Oqoqo
Detail	Humanbound	Oqoqo
What it does	Secure AI agents, with evidence	The easiest way to build evals and custom benchmarks for real-world agentic tasks
Stage	Not given	Not given
Founded	Not given	Not given
Based in	GR	US
Pricing model	Freemium	Freemium
Pricing	Community: €0 (open source, 1x monthly testing volume, weekly monitoring, 3 seats, 30-day data retention). Team: €349/mo (20x monthly testing volume, 10 seats, 90-day data retention, webhooks, priority support). Enterprise: Custom pricing (contact for details).	Free: 100 plan runs per month, $0/month. Pro: 300 plan runs per month, $20/month ($0.067 per run). Ultra: 1,000 plan runs per month, $60/month ($0.06 per run). Top-ups available: 25 runs for $5, 100 runs for $15, 300 runs for $40, 1,000 runs for $120.
Key features	Automated adversarial testing with multi-turn and agentic attack chains Black-box testing without SDK installation or agent modification Four-tier Humanbound Firewall with LLM judge Continuous posture score from 0 to 100 Framework mapping to EU AI Act, NIST AI RMF, OWASP LLM Top 10, OWASP Agentic AI Top 10 Air-gapped testing with self-hosted models like Ollama Export compliance evidence in HTML, PDF, JSON, SARIF, CEF formats Webhook integration with SIEM and ticketing systems Apache-2.0 open source CLI, testing engine, and SDK Baseline campaign completion in hours	Compare treatments (toolsets including skills, MCP servers, CLIs, SDKs) Build and version private benchmarks in plain language
What makes it different	Continuous monitoring instead of point-in-time reports Adaptive multi-turn attack chains that evolve over time Same open-source code as platform with nothing held back or limited No account required for local open-source testing Framework mapping and compliance evidence for regulatory requirements	Full trajectory visibility showing every step agents took, where they got stuck, and detailed friction analysis Compare multiple agents, models, and toolsets simultaneously on identical tasks with one experiment grid Managed cloud infrastructure handling durable workflows while you control your own model costs
Community votes	0	0
DR (Domain Rating by Ahrefs)	14 +1 (up) since last check	13 no change since last check
Trust Flow (Majestic)	8	7
Citation Flow (Majestic)	30	28
Referring domains (Majestic)	71	130

6 details filled in for both companies.

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