Agentery pricing intelligence · Provider profile · Agentpatterns Ai
Provider profile · independently tracked by Agentery
Agentpatterns Ai
Decomposes AI security/vulnerability analysis into staged threat-modeling, issue-suggestion, and audit-verification phases to suppress hallucinated findings an…
Agentery price verdictNo pricing observed
Billing model—
Last checked13 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Decomposes AI security/vulnerability analysis into staged threat-modeling, issue-suggestion, and audit-verification phases to suppress hallucinated findings and produce evidence-based findings with file paths and line numbers
Source code repositories and prompts for security analysis → Structured attack-surface maps, vulnerability hypotheses, and evidence-based audited findings with file paths and line numbers
MCPYAML taskflow orchestrationGitHub Security Lab Taskflow AgentMCPautonomy: workflow automation
Official Agentpatterns Ai links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agentpatterns Ai good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheSecurity Scanning Vulnerability
Price benchmarknot applicable
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agentpatterns_ai",
"name": "Agentpatterns Ai",
"url": "https://agentpatterns.ai/workflows/ai-powered-vulnerability-triage/",
"logo": "https://agentery.com/logos/CP-TFRVX8-ld256.png",
"niche": "security-scanning-vulnerability",
"category": "developer-tools-infra",
"short_summary": "Decomposes AI security/vulnerability analysis into staged threat-modeling, issue-suggestion, and audit-verification phases to suppress hallucinated findings an…",
"task_performed": "Decomposes AI security/vulnerability analysis into staged threat-modeling, issue-suggestion, and audit-verification phases to suppress hallucinated findings and produce evidence-based findings with file paths and line numbers",
"inputs_accepted": [
"Source code repositories and prompts for security analysis"
],
"outputs_produced": [
"Structured attack-surface maps",
"vulnerability hypotheses",
"and evidence-based audited findings with file paths and line numbers"
],
"integrations_available": [
"MCP",
"YAML taskflow orchestration",
"GitHub Security Lab Taskflow Agent"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools / security"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription plans are shown in the supplied pages.",
"confidence": "high",
"source_url": "https://agentpatterns.ai/workflows/plan-first-loop/",
"checked_at": "2026-09-13T02:18:03.845Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"References GitHub Security Lab framework"
],
"evidence_quality": "medium",
"entity_type": "content-community",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://agentpatterns.ai/workflows/ai-powered-vulnerability-triage/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://agentpatterns.ai/workflows/ai-powered-vulnerability-triage/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 155,
"uptime_7d": 1,
"checked_at": "2026-09-13T02:30:32.199Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}