Tikoly was built to solve a problem every agent maker encounters: LLM token pricing is opaque. Providers advertise per-token rates, but real-world costs depend on context accumulation, caching behavior, reasoning depth, and model selection — variables that shift with every task.
We treat token economics as a first-class engineering problem.
What Tikoly is built to do
Tikoly combines a real-time telemetry pipeline, durable workflow orchestration, and double-entry accounting into a single platform for agent-native LLM consumption. Instead of guessing how many tokens your agents will burn, you see it live — per-request, per-model, per-session.
Every call is metered. Every cost is visible. Every token is accounted for.
Agent-first approach
Traditional LLM providers treat agents like power users of a chat interface. Tikoly treats agents as first-class workloads. That means:
- Durable execution: Workflows survive node failures — your agent picks up where it left off
- Real-time telemetry: Token usage streams to your dashboard in under 10ms
- Predictable pricing: Pre-paid token packages with no surprise overages — our ledger prevents overdraw
Our team
Tikoly is built by engineers who spent years building agent systems and got tired of black-box token billing. We’re backed by Chatek LLC and headquartered in Guangzhou, China.
Roadmap
We’re currently in private beta. The v1.0 launch will include 15+ model providers, the tikosim CLI simulator, live dashboards, and three token package tiers (Starter, Pro, Enterprise). Join the waitlist to get early access.