Governed multi-model routing and MCP tool access with shared policies.
Who should avoid it?
Buyers comparing only token markup, Workloads unable to tolerate a gateway dependency
What problem does it solve?
Orq.ai combines model and MCP routing, observability, budgets, redaction, governance, and managed agents, with unusually explicit usage pricing but several independent meters to model.
Would I recommend it?
Orq.ai earns a shortlist for teams that want a governed EU-oriented gateway spanning both models and MCP tools. Begin with BYOK traffic, disable unnecessary payload retention, test compatibility under failures, and model spans, data, seats, agent runs, and knowledge bases before adopting the broader platform.
Orq.ai combines model and MCP routing, observability, budgets, redaction, governance, and managed agents, with unusually explicit usage pricing but several independent meters to model.
Direct verdict
Orq.ai earns a shortlist for teams that want a governed EU-oriented gateway spanning both models and MCP tools. Begin with BYOK traffic, disable unnecessary payload retention, test compatibility under failures, and model spans, data, seats, agent runs, and knowledge bases before adopting the broader platform.
What to verify
Replay 10,000 representative calls and 500 tool-heavy agent runs through direct providers and Orq.ai. Compare output fidelity, streaming, structured output, tool calling, p50 and p95 latency, failover correctness, cache safety, redaction recall, trace completeness, spend-limit enforcement, regional routing, and an invoice projection across every meter—not only model tokens.
Personal Recommendation
Orq.ai earns a shortlist for teams that want a governed EU-oriented gateway spanning both models and MCP tools. Begin with BYOK traffic, disable unnecessary payload retention, test compatibility under failures, and model spans, data, seats, agent runs, and knowledge bases before adopting the broader platform.
Governed multi-model routing, MCP tool access with shared policies, EU-hosted AI operations.
Who should avoid it?
Buyers comparing only token markup, Workloads unable to tolerate a gateway dependency
What problem does it solve?
Orq.ai combines model and MCP routing, observability, budgets, redaction, governance, and managed agents, with unusually explicit usage pricing but several independent meters to model.
Would I recommend it?
Orq.ai earns a shortlist for teams that want a governed EU-oriented gateway spanning both models and MCP tools. Begin with BYOK traffic, disable unnecessary payload retention, test compatibility under failures, and model spans, data, seats, agent runs, and knowledge bases before adopting the broader platform.
Overall Score
8.0
Ease of Use
7.8
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.2
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended For
Governed multi-model routing
MCP tool access with shared policies
EU-hosted AI operations
Not Recommended For
Buyers comparing only token markup
Workloads unable to tolerate a gateway dependency
Teams retaining full sensitive payloads by default
Recommended Because…
Explicit multi-meter pricing
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Reusable trial worksheet
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DiscoverAI evaluation worksheet
Orq.ai Review 2026: AI Gateway Pricing and Governance
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Governed multi-model routing; MCP tool access with shared policies; EU-hosted AI operations
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Pay-as-you-go currently includes 1 million monthly BYOK requests, 100,000 spans, 1 GB processed data, 30-day retention, unlimited gateway seats, and 500 agent runs. Above those allowances, the page lists 4% on BYOK requests, 4.5% on Orq-managed model credits, €7 per additional 100,000 spans, €3 per GB, €35 per AI Studio seat monthly, and €0.01 per extra…
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
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Product interface evidence
Visual evidence statusWhat we verified without a screenshot
Evaluation
Research-based
Price posture
From $0/month
Reviewed
2026-09-05
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Pricing
Freemium
Pay-as-you-go currently includes 1 million monthly BYOK requests, 100,000 spans, 1 GB processed data, 30-day retention, unlimited gateway seats, and 500 agent runs. Above those allowances, the page lists 4% on BYOK requests, 4.5% on Orq-managed model credits, €7 per additional 100,000 spans, €3 per GB, €35 per AI Studio seat monthly, and €0.01 per extra agent run. Knowledge bases and memory list a €500 monthly charge plus document processing. Enterprise is custom. Reviewed September 5, 2026.
Free plan: Yes. Accounts can start without billing at limited daily traffic and use published monthly allowances after configuring pay-as-you-go; upstream model usage and some platform features still cost separately.
Editorial freshness
Checked this month
Pricing and material product claims were checked September 5, 2026.
Pros & Cons
Pros
Explicit multi-meter pricing
Models and MCP tools share governance
EU hosting and enterprise deployment options
Cons
Several usage meters complicate forecasting
Knowledge-base pricing can dominate small workloads
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