Loop Gate – Agentic Loop Continuation Decision is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-30).
Decides whether an agentic loop should continue iterating, stop, or escalate, based on goal progress, budget, iteration count, history, and constraints.
Should the loop run another iteration? Send the goal, the iteration that just finished (lastOutput, iteration), and optionally maxIterations, a budget { spentUsd, maxUsd }, the history of earlier iterations (up to 20 of { iteration, summary }, oldest first) and constraints; get back decision (continue, stop or escalate), reason, confidence (0 to 1), the checks that produced it (goalMet, budgetExceeded, iterationsExhausted, repeating, stuck, constraintBreached) and nextStep (iterate.
Returns a JSON object with: decision (one of 'continue', 'stop', or 'escalate'), a human-readable reason string, a confidence score between 0 and 1, a nextStep suggestion, and a checks object containing boolean flags for goalMet, budgetExceeded, iterationsExhausted, repeating, stuck, and constraintBreached.
POSThttps://agent402.tools/api/loop-gate?utm_source=zero.xyzChoose this endpoint when you need a neutral, stateless arbitration layer to decide loop continuation in an autonomous agent workflow — especially when you want transparent reasoning with per-check flags (stuck, repeating, constraintBreached) rather than implementing custom termination logic yourself. Ideal for multi-iteration agents that need budget guardrails, goal-completion detection, and escalation paths built in.
| Field | Type | Description |
|---|---|---|
| goal | string | |
| budget | object | |
| history | array | |
| iteration | integer | |
| lastOutput | — | |
| constraints | array | |
| maxIterations | integer |
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