
Connect to the world’s top models through one unified interface — routing, failover, observability and usage governance handled automatically.
An infrastructure partner connecting global models.
Mainstream global models, unified behind one API.
“Integration is simple enough, yet routing, failover and usage analytics are all ready out of the box.”
Tokens routed monthly, choosing better model paths for your workload.
A unified interface is just the start. SoleAPI puts model selection, traffic scheduling, failover, cost analytics and security policy in one control plane — every request faster, steadier, more controllable.
Natively compatible with the OpenAI and Anthropic protocols — one endpoint reaches 30+ mainstream models, with no per-vendor SDKs, auth schemes or response formats to maintain.
Picks the optimal node in real time by latency, availability, region and cost, switching automatically when a provider degrades.
Trace tokens, latency, status and cost per request; locate anomalies and bottlenecks from one dashboard.
Model allowlists, rate limits and budget alerts per team, project and key — call boundaries stay clear.
Capability lists are abstract; integration paths are concrete. The three most common ways in, from minute one to daily operation.
Swap the base URL in Claude Code or Codex CLI to SoleAPI and migration is done in a minute. High-frequency coding requests stream through with millisecond passthrough, and channel failover is invisible to the tool.
Call Claude, GPT and Gemini through one interface for A/B comparisons, with API keys and budgets split per project. Which model got pricier, slower or flakier is obvious on one dashboard.
Top up what you use; every call lands in the ledger with tokens and cost in real time. Public prices match your bill, and the model health page helps you pick the steadiest model before you start.
Bring call data scattered across model vendors back into one workspace — monitor and decide from live traffic to cost trends in one place.
From key isolation to budget boundaries, production-grade governance is built in by default — not patched on after launch.
Project-level key isolation, model allowlists and member permissions set the right access boundary for every workload.
Hard quotas, concurrency limits and usage alerts per team and app — no unexpected resource burn.
Multi-node health probing and real-time switching keep business continuous through upstream turbulence, with every state change traceable.
Simpler AI infrastructure, faster product iteration.