Zof vs Oqoqo

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

Zof compared with Oqoqo
Detail	Zof	Oqoqo
What it does	Independent AI verification and production control layer	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	Not given	US
Pricing model	Freemium	Freemium
Pricing	Starter: $166/month ($1,990 billed annually) with 12,000 test runs/month, 3 applications, and validated fixes at $25 each. Team: $833/month ($9,990 billed annually) with 55,000 test runs/month and 10 applications. Business: $2,083/month ($25,000 billed annually) with 165,000 test runs/month, 25 appl	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	System Graph mapping of services, dependencies, ownership, and policies Verification Engine with 19 verification domains from unit tests to compliance Continuous verification and change detection Policy-based control and approval workflows Durable evidence and audit trails AI-assisted remediation with outcome-based billing Integration with CI/CD, cloud, and observability tools VPC, private cloud, on-prem, and air-gapped deployment Identity-first with RBAC and SSO Secure Enclave Runner for restricted environments	Compare treatments (toolsets including skills, MCP servers, CLIs, SDKs) Build and version private benchmarks in plain language
What makes it different	Independent verification separates proposing changes from deciding if available evidence is sufficient Model-independent design works with any approved model or deterministic systems alone Outcome-based billing charges only for validated fixes that pass verification Governance by default with explicit approval, audit, and no shared credentials Topology-aware impact analysis using System Graph to recommend validation plans	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)	28 no change since last check	13 no change since last check
Trust Flow (Majestic)	5	7
Citation Flow (Majestic)	20	28
Referring domains (Majestic)	62	130

5 details filled in for both companies.

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