Overview / Description
SIGTREX API is an AI developer tool that acts as an execution control layer between engineers and their AI coding assistants — including ChatGPT, Claude, Cursor, Windsurf, and GitHub Copilot — to detect scope creep, block unsafe multi-step prompts, and produce auditable traces of every AI action taken in a codebase.
The core problem SIGTREX addresses is "drift": when a developer asks an AI agent to fix authentication, the agent may silently also touch the dashboard, update billing logic, or refactor unrelated files. SIGTREX intercepts the request before execution, assigns a drift score (0–100), and blocks any prompt that exceeds the agreed scope or triggers a hallucination-risk pattern. Developers call a single REST endpoint — POST /api/strict-execute — and SIGTREX returns either an approved execution plan or a BLOCKED response explaining exactly what scope violation it detected and the estimated token savings from the block.
Beyond blocking, SIGTREX creates execution contracts that lock the AI to a defined scope, verifies output before changes are applied to the codebase, and generates replay traces so teams can audit or reproduce exactly what an AI agent did. Cost protection caps apply per execution to prevent runaway token spend. This makes SIGTREX relevant for engineering teams running autonomous AI agents in CI/CD pipelines or production codebases where unreviewed changes carry real risk.
The tool is available under a Founder Plan with lifetime access. It requires an API key and is accessed via REST, making it compatible with any language or framework that can make HTTP calls.
Used For
Preventing scope creep and unsafe multi-step executions in AI coding agent workflows via a REST-based execution control layer.
Pricing
Founder Plan
one-time lifetime access payment — specific amount not published on the public site
Pros & Cons
Pros
- Single REST endpoint (
POST /api/strict-execute) integrates with any language or framework - Drift scoring (0–100) quantifies how far a prompt strays from defined scope before execution
- Execution contracts lock AI agents to an approved scope, preventing silent file changes
- Replay traces provide a full audit log of every AI operation for debugging or compliance
- Hard cost caps block executions that would exceed token-spend limits
Cons
- Lifetime Founder Plan pricing details are not publicly listed — cost unknown without sign-up
- Adds a round-trip API call to every AI interaction, which may increase latency in tight loops
- No native SDK or library listed — requires raw HTTP integration
- Best suited for teams already running autonomous AI agents; adds overhead for simple single-step uses
Questions & Answers
Alternatives
Invariant Labs, Portkey AI, Guardrails AI, LangSmith
Reviews & Ratings
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