Autonomous agents have no native concept of money. Given a research goal and a capable toolset, an agent will happily run its most expensive tool in a loop until the goal, the budget or the month ends — and it has opinions about only the first. Everyone building agentic workflows meets this the same way: the surprisingly large usage number, discovered after the fact.

The fix is the one every metered system uses: read the meter inside the loop. An agent that checks its budget before each expensive step, and knows what to do when the answer is "thin," is an agent you can leave running — which was the entire point of building it.

get_credit_status is the meter, free to call: balance, tier and today's remaining quota, readable by the agent mid-loop. ping confirms the pipe before a scheduled run burns its slot on a dead connection.

deep_query is the guarded spend — the pattern is a standing instruction: check credits; above the floor, run the deep research; below it, either ask the human or degrade to lighter tools (library search is free; summaries are cheap). Written into your agent's instructions once, the guard converts "hope the usage is fine" into designed behavior — and the same three-tool skeleton (meter, preflight, guarded spend) is the base layer under every serious agentic workflow on veridive.