OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
Scalebrowser is a desktop browser platform built specifically for AI agents. It gives each agent its own isolated browser profile with a persistent identity, so automations can stay signed in between runs instead of starting from a blank session every time. Agents connect over MCP, Python and Node SDKs, a REST API or direct CDP, and every tool call is captured as a step with a result and a screenshot.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
Adaptive routing and failover
Each prompt is graded and routed to the model that clears your quality bar, with configurable fallback chains that retry before a response starts.
Zero token markup
Pay provider prices with $0 per-token added on pay-as-you-go and subscriptions, or bring your own provider keys and credits.
Guardrails and agent firewall
PII shielding, jailbreak and injection blocking, and per-call approval for tool and MCP actions run before you are billed.
Observability and cost insights
Request logs, per-prompt receipts, routing and spend dashboards, and copy-as-cURL make every call auditable and attributable.
強み・メリット
+One OpenAI-compatible endpoint across 200+ models
+Zero token markup with optional bring-your-own-key
+Built-in guardrails, agent firewall, and compliance packs
Prompts not logged by default, with ZDR and residency options
制約・デメリット
–Advanced routing DSL and governance take time to configure well
–Some features like TEE and data residency are request-only
–A newer platform, so long-term ecosystem and community maturity is still building
Scalebrowser
Scalebrowser is a desktop browser platform built specifically for AI agents. It gives each agent its own isolated browser profile with a persistent identity, so automations can stay signed in between runs instead of starting from a blank session every time. Agents connect over MCP, Python and Node SDKs, a REST API or direct CDP, and every tool call is captured as a step with a result and a screenshot.
Persistent profile identity
Each profile is generated from a seed so its identity, cookies and logins persist across restarts, and sites see the same returning visitor rather than a new device.
Isolated browser profiles
One browser per profile means separate logins, cookies and devices that share nothing, making multi-account automation safe to run in parallel.
Built-in sign-in and 2FA handling
Agents get through username and password forms, email confirmation codes, TOTP and SMS two-factor codes, passkeys and permission prompts without stalling.
Human-like input and captchas
Press-and-hold, image grid, slider and rotation captchas are solved through human-like input rather than third-party solving keys.
強み・メリット
+Strong focus on persistent, isolated identities so agents stay logged in across runs
+Broad integration surface covering MCP, Python/Node SDKs, REST and direct CDP
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Built-in handling of logins, email codes, TOTP, SMS, passkeys and captchas
+Token-efficient page reading that only reports what changed between steps
+Detailed run trails with screenshots make debugging agent runs easier
制約・デメリット
–Requires installing a desktop app and running it on your own machine, so it is not a purely cloud-hosted service
–Free tier excludes schedules, webhooks, sync and phone approvals
–Paid tiers meter concurrent browsers, machines and profile counts, which can raise costs for large fleets
–Advanced anti-detection features may raise compliance responsibility with target platforms
