NullRun provides runtime authorization for AI agents, ensuring every action is verified before execution with features like budget limits and decision auditing.
Why it matters
API Docs
API Available
overview
NullRun is an AI runtime authorization tool developed by NullRun that enables developers, operators, security, and finance personnel to control and audit AI agent actions. It acts as an enforcement gateway, verifying every action before execution to prevent unintended or unauthorized operations in production environments. NullRun was announced as production-ready around September 11, 2026, after approximately seven months of development.
features
NullRun implements a runtime decision layer to gate tool and model calls by AI agents, enforcing policies prior to execution. This system is designed to provide granular control over autonomous AI agents.
use cases
NullRun is designed for organizations deploying AI agents in production environments that require stringent control, security, and financial oversight. Its capabilities address critical needs across various operational roles.
how to use
NullRun functions as a control plane between AI agents and external systems, requiring integration to intercept and authorize agent actions. Users can configure policies via a dashboard.
pricing
NullRun offers a freemium model with a free tier and a paid subscription plan, alongside usage-based pricing for API calls. The platform provides transparent pricing for AI agent governance.
Enjoying this? Get one like it in your inbox each morning.
one email a day · unsubscribe in two clicks · no third-party tracking
Similar Tools
NullRun distinguishes itself by providing a dedicated runtime authorization layer for AI agents, focusing on pre-execution control and policy enforcement, rather than solely observability or post-action analysis.
A Python toolkit for adding programmable guardrails to LLM-based applications, allowing definition of rules for safety, security, and control over agent behavior.
NeMo Guardrails provides the policy enforcement aspect of NullRun, enabling you to define what your AI agent can and cannot do at runtime. However, it's a library you integrate into your application, requiring more setup than NullRun's hosted service, and it doesn't inherently offer budget limits or cost controls; you'd need to implement those separately.
Provides observability, cost monitoring, and caching for LLM applications by acting as a proxy to track and manage API calls.
Helicone excels at the cost control and decision auditing aspects of NullRun, giving you visibility into LLM usage and spending. Unlike NullRun, it primarily acts as a proxy for monitoring and doesn't offer direct runtime authorization or complex policy enforcement for agent actions beyond rate limiting or budget alerts.
An open-source observability and evaluation platform for LLM applications, offering detailed tracing, cost tracking, and analytics for agent runs.
Langfuse provides robust decision auditing and cost tracking similar to NullRun, giving you deep insights into agent behavior and expenses. While it offers evaluation capabilities, it doesn't provide the same level of proactive runtime authorization and policy enforcement for agent actions as NullRun.
A Python library that unifies API calls to various LLM providers and includes features like cost tracking, retries, and fallbacks.
LiteLLM helps with cost tracking and managing API interactions across different LLMs, addressing a part of NullRun's cost control. However, it's a client library for making LLM calls and doesn't offer runtime authorization, complex policy enforcement, or comprehensive decision auditing for agent actions like NullRun.
More on Stork
Other tools in this category, matched by shared tags
One short daily email of tools worth shipping. No drip funnel.
one email a day · unsubscribe in two clicks · no third-party tracking
For builders
AI agents read it. Buyers land on it. It answers in eight languages and over MCP. Your tool can have one like it — live in 24 hours.
