Process Flow
How ActionLedger Works
From risky agent action to ALLOW, REVIEW, or BLOCK — with a decision record.
Checks what an agent is about to do — and what comes back — before the agent proceeds.
Before an agent calls a tool, opens a URL, calls an API, writes memory, or trusts a response, ActionLedger checks both the outbound action and inbound content. It returns ALLOW, REVIEW, or BLOCK with risk score, confidence, reasoning, and a proof-style decision record.
Check an outbound destination, tool call, API endpoint, or inbound response before an agent proceeds.
A clean destination does not make a malicious response safe.
Use examples to see how ActionLedger handles safe destinations, impersonation, redirects, malicious responses, and exploit-pattern payloads.
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From risky agent action to ALLOW, REVIEW, or BLOCK — with a decision record.
Live Simulation
See how ActionLedger trust-checks 50 simulated agent actions and responses — tool calls, response handling, peer delegation, memory writes, and risky external destinations.
Every action returns ALLOW, REVIEW, or BLOCK — with a risk score, verdict confidence, and decision record. Run the simulation to see how verdicts distribute across a real agent workload.
Simulation uses predefined enterprise-style agent actions to demonstrate ActionLedger's trust decisions.
Readiness Check
Before agents run unattended, ActionLedger checks whether the task has a clear goal, permission boundaries, stop conditions, fallback plan, and human-review triggers — before the agent acts or trusts any response.
AI agents no longer just generate text — they call tools, fetch URLs, write memory, delegate work, and touch external destinations. Those actions create risk before execution, and the responses they receive can create risk before the agent trusts or uses them.
ActionLedger evaluates outbound actions before they happen and inbound responses before the agent trusts or acts on them. It explains the decision and records what was allowed, blocked, or escalated — and why.
From agent action to ALLOW, REVIEW, or BLOCK — with a proof-style decision record.
Tool call, API call, URL fetch, file read, memory write, peer handoff, or external destination.
Evaluate the destination, URL, tool endpoint, or action target before the agent proceeds.
Inspect tool output, webpage content, API response, or agent output for prompt injection, exploit patterns, and exfiltration attempts.
Highest meaningful risk wins. A clean destination does not make a malicious response safe.
Verdict, confidence, risk score, risk factors, risk surface, and recommended action — before the agent acts.
Facts, inferences, assumptions, and evidence separated clearly. Audit-ready proof of every decision.
Should this agent action happen? Every capability maps back to that question.
ALLOW, REVIEW, or BLOCK on both the outbound action and inbound response. Every check returns a verdict, confidence level, and recommended action.
Checks both the outbound call and inbound content. A clean destination does not make a malicious response safe — highest meaningful risk wins.
Facts, inferences, assumptions, confidence, and recommendation separated clearly. Every verdict is explainable and auditable.
Identifies whether risk comes from destination, response, prompt, tool, memory, peer, file, or multi-step chain — before the action proceeds.
Documents what was checked, what was found, and why the action was allowed, reviewed, or blocked. Facts and inferences are logged separately.
Background readiness, memory write review, instruction governance, and peer delegation are supporting action + response checks — not separate products.
Developer Path
ActionLedger does not require adopting a full agent platform. Add one action + response trust check before one risky action and get a verdict, confidence level, and decision record back immediately.
Test a destination, tool call, API endpoint, inbound response, memory write, or agent action.
Create a free key for full API access, history, and higher limits.
Place ActionLedger before a tool call, API call, memory write, peer handoff, file action, or external destination.
ALLOW proceeds. REVIEW queues a human. BLOCK stops execution. Every decision includes verdict confidence, risk factors, and reasoning.
Log the decision record so your system can explain what happened, why the action was allowed or blocked, and what evidence supported the verdict.
Use ActionLedger through the live scanner, API, or SDK.
One API call before a risky action — get back a verdict, confidence level, risk surface, and decision record. No full platform adoption required.
Agent platforms help teams build, deploy, observe, and manage agents.
ActionLedger sits at the decision point before risky actions happen.
A clean destination does not make a malicious response safe.
Use it beside Azure AI Foundry, Microsoft Agent 365, Salesforce Agentforce, Claude Code, OpenAI Agents SDK, LangGraph, MCP, custom agents, or internal automation.
It does not replace those platforms. It checks action-level risk — both the outbound call and inbound response — before agents act.
Get your own key for full access, history, and higher limits. No credit card required.
Start free. Upgrade when you need more scans, speed, or enterprise controls.
FAST mode uses deterministic checks and small-model-ready routing for low-latency agent decisions. DEEP mode is reserved for enrichment, ambiguous cases, or policy-required review.