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OrcaRouter

Freemium
★ 134 • Updated Aug 16, 2026, 02:20 PM

OrcaRouter is a hosted AI gateway that provides a single OpenAI-compatible endpoint for over 200 large language models.

Use Cases ▼
01

Route prompts to the most cost-effective model while maintaining quality thresholds

02

Configure automatic failover chains to avoid provider outages

03

Enforce PII redaction and content guardrails before inference

04

Monitor latency, spend, and model quality with request logs and insights

05

Manage API keys, budgets, and role-based access for teams

06

Use playground to compare models side-by-side before deployment

07

Integrate AI gateway into applications via OpenAI-compatible SDKs and agent frameworks

08

Bring your own provider keys to avoid vendor lock-in and use existing credits

What Problem It Solves ▼

OrcaRouter reduces the cost and complexity of using multiple large language models by providing a single API gateway that intelligently routes prompts to cheaper open-source models without sacrificing quality, while adding security guardrails, observability, and governance.

Key Features ▼
✓

Single OpenAI-compatible endpoint for 200+ models

✓

Adaptive routing reduces inference cost by 40%+ with minimal quality loss

✓

Zero token markup and transparent provider pricing

✓

Built-in guardrails, agent firewall, and compliance evidence

✓

Fast mid-stream failover under 50ms

Overview

OrcaRouter is a hosted AI gateway that provides a single OpenAI-compatible endpoint for over 200 large language models. It offers adaptive routing that grades each prompt and routes it to the model that meets quality thresholds, automatic failover within 50ms mid-stream, and load balancing across providers. Users can also bring their own provider keys and manage budgets.

Full Description ▼

The platform includes observability features such as request logs, insights dashboards, and zero-markup cost reporting with prompt caching. Governance capabilities include guardrails for PII and content policy, an agent firewall for tool and MCP calls, compliance packs, data residency controls, API key and token governance, budgets, roles, and audit trails.

Developers can integrate via Python, TypeScript, cURL, or agent frameworks like Cursor, LangChain, n8n, and Vercel AI SDK. A playground supports side-by-side model comparisons, image and video generation. Pricing is freemium with no token markup; subscriptions available.

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