Spend Control for AutoGPT
AutoGPT agents run autonomous loops — plan, act, iterate — and every iteration can call a paid tool. The guard bounds the loop.
Why AutoGPT agents overspend
Autonomous loops iterate until the goal is met.
Each iteration can trigger paid tool calls.
Loops that miss the goal retry and compound.
How it works
Add the guard as a tool: before any spend, the agent gets APPROVED, BLOCKED, or FLAGGED.
Rules that fit
Per-task ceiling.
Velocity limit on loop iterations.
Merchant allowlist for paid tools.
Guard call
from sipi_guard import sipi_guard
decision = sipi_guard(amount=25, merchant="api.vendor.com", category="api")
# APPROVED | BLOCKED | FLAGGEDLoops with a budget.
FAQ
Does this stop AutoGPT's loop?
No — it gates spend actions; the loop continues within budget.
What about sub-agents?
Fleet rules cover the whole run.
Related
Stop the next $12,400 night.
One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.
See plans — from $99/mo Try a live check