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AI Agent Runtime Risk & Action Governance Monitor

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Runtime governance for autonomous agents: analyze observed tool calls, permissions, approvals and side effects, compare behavior across runs, and return explicit ALLOW/REVIEW/BLOCK decisions with evidence. Returns structured, machine-readable results for repeatable research.

Pricing

from $12.60 / 1,000 results

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Developer

Rafael Barreto Haddad

Actor stats

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Total users

Monthly active users

3 hours ago

Last modified

Categories

Developer tools

Automation

You can access the AI Agent Runtime Risk & Action Governance Monitor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "currentItems": [
10        {
11            "eventId": "evt-101",
12            "sessionId": "sess-44",
13            "agent": "procurement-agent",
14            "tool": "payments.create",
15            "action": "create_payment",
16            "resource": "vendor:acme",
17            "permission": "payments:write",
18            "approvalStatus": "missing",
19            "sideEffect": "financial",
20            "riskType": "unapproved_financial_action",
21            "riskScore": 92,
22            "sensitiveData": False,
23            "timestamp": "2026-09-20T14:04:00Z",
24        },
25        {
26            "eventId": "evt-102",
27            "sessionId": "sess-44",
28            "agent": "procurement-agent",
29            "tool": "crm.search",
30            "action": "read_contacts",
31            "resource": "crm:contacts",
32            "permission": "contacts:read",
33            "approvalStatus": "not_required",
34            "sideEffect": "read",
35            "riskType": "sensitive_data_access",
36            "riskScore": 48,
37            "sensitiveData": True,
38            "timestamp": "2026-09-20T14:04:04Z",
39        },
40        {
41            "eventId": "evt-103",
42            "sessionId": "sess-44",
43            "agent": "procurement-agent",
44            "tool": "shell.exec",
45            "action": "execute_command",
46            "resource": "host:worker-2",
47            "permission": "shell:execute",
48            "approvalStatus": "denied",
49            "sideEffect": "execution",
50            "riskType": "privilege_escalation_attempt",
51            "riskScore": 96,
52            "sensitiveData": False,
53            "timestamp": "2026-09-20T14:04:08Z",
54        },
55    ],
56    "previousItems": [{
57            "eventId": "evt-091",
58            "sessionId": "sess-41",
59            "agent": "procurement-agent",
60            "tool": "crm.search",
61            "action": "read_contacts",
62            "resource": "crm:contacts",
63            "permission": "contacts:read",
64            "approvalStatus": "not_required",
65            "sideEffect": "read",
66            "riskType": "sensitive_data_access",
67            "riskScore": 35,
68            "sensitiveData": True,
69            "timestamp": "2026-09-13T14:04:04Z",
70        }],
71}
72
73# Run the Actor and wait for it to finish
74run = client.actor("quanmatrix/ai-agent-runtime-risk-governance-intelligence").call(run_input=run_input)
75
76# Fetch and print Actor results from the run's dataset (if there are any)
77print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
78for item in client.dataset(run.default_dataset_id).iterate_items():
79    print(item)
80
81# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI Agent Runtime Risk & Action Governance Monitor API in Python

The Apify API client for Python is the official library that allows you to use AI Agent Runtime Risk & Action Governance Monitor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

AI Agent Runtime Risk & Action Governance Monitor API in JavaScript

AI Agent Runtime Risk & Action Governance Monitor API through CLI

AI Agent Runtime Risk & Action Governance Monitor OpenAPI definition

AI Agent Runtime Risk & Action Governance Monitor API

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