USE CASE
An LLM API built for agents
Agents, automation, and 24×7 workloads are where per-token billing hurts most. Each loop step, tool call, and retry is a new charge. Profundo's flat rate makes the whole month predictable.
The agent cost problem
A single agent run can make dozens of requests: planning, tool calls, reflection, retries. Run that continuously and your token meter moves fast. With flat-rate pricing you stop watching the meter and start shipping.
# An agent loop makes many small requests.
# With per-token billing, the bill grows with every step.
# With Profundo, the month costs the same regardless.
for step in agent_loop():
response = client.chat.completions.create(
model="gpt-6-astra",
messages=step.messages,
tools=step.tools,
)Which plan fits
The Priority plan (2,000 requests/day) is designed for 24×7 agent and automation workloads with peak-ramp tolerance. Performance removes the daily cap for sustained high-volume work. See all plans.
Tool calling included
Profundo supports native tool calling, parallel tool calls, and structured output (response_format) where the model allows — the primitives agents need. See the API reference.
Works with your agent stack
Use the OpenAI-compatible base URL with the tools you already run: Hermes Agent, OpenCode, Cline, Roo Code, or any OpenAI-compatible client.