Red Team Agent
Query this niche via MCP
market_report({ query: "Red Team Agent", response_mode: "summary" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Red Team Agent (latest observation 2026-10-26T04:18:57.627Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its
by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
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"movement": {
"niche": "red-team-agent",
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"pairs": 2,
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"likeForLikePct": -0.1,
"kind": "mixed",
"narrative": "Repricing + composition: 1 agent repriced — all down (avg -0.1%); 1 stopped showing a public price."
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"index_series": {
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"index": 100,
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"index": 100,
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"index": 100,
"pairs": 3,
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{
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"index": 100,
"pairs": 3,
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{
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"index": 100,
"pairs": 3,
"dayChangePct": 0
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"index": 100,
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"dayChangePct": 0
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"index": 100,
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"day": "2026-10-04",
"index": 100,
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"index": 100,
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"index": 100,
"pairs": 3,
"dayChangePct": 0
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"index": 100,
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"dayChangePct": 0
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{
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"index": 100,
"pairs": 3,
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"index": 100,
"pairs": 3,
"dayChangePct": 0
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"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-14",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-15",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-16",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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"index": 100,
"pairs": 3,
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{
"day": "2026-10-18",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-19",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-20",
"index": 100,
"pairs": 3,
"dayChangePct": 0
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{
"day": "2026-10-21",
"index": 100,
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{
"day": "2026-10-22",
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{
"day": "2026-10-23",
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"methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
},
"top_agents": [
{
"agent_id": "agentic_security",
"name": "Agentic Security",
"url": "https://agentic-security.vercel.app/",
"short_summary": "scans and red-teams LLMs for vulnerabilities through fuzzing and attack techniques",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
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"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "gandalf_agent_breaker",
"name": "Gandalf Agent Breaker",
"url": "https://gandalf.lakera.ai/agent-breaker",
"short_summary": "provides an educational security challenge game where users attempt to hack/exploit simulated GenAI applications using prompt injection attacks",
"price": {
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"billing": "not_found",
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"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
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"upvotes": 0
},
{
"agent_id": "ment_tech_ai_security",
"name": "Ment Tech Ai Security",
"url": "https://ment.tech/ai-security-red-teaming-services/",
"short_summary": "performs AI agent security assessments and adversarial red teaming, hardening AI agents against prompt injection, tool abuse, and OWASP LLM Top 10 threats",
"price": {
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"billing": "not_found",
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"monthly_usd": null,
"headline": "No public price found",
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},
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"upvotes": 0
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{
"agent_id": "sweet_attack",
"name": "Sweet Attack",
"url": "https://www.sweet.security",
"short_summary": "Secures cloud and AI applications via runtime CNAPP, mapping environments, detecting and responding to incidents, prioritizing vulnerabilities, and setting AI…",
"price": {
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"monthly_usd": null,
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"upvotes": 0
},
{
"agent_id": "verialabs",
"name": "Verialabs",
"url": "https://verialabs.com/",
"short_summary": "autonomously maps, exploits, and secures an application's attack surface by finding vulnerabilities and suggesting patches",
"price": {
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"billing": "not_found",
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"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS pricing plans or subscription rates are shown on the homepage."
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"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "agent_opfor",
"name": "Agent Opfor",
"url": "https://github.com/KeyValueSoftwareSystems/agent-opfor",
"short_summary": "Open-source adversary emulation and red-teaming tool for AI agents, LLM apps, and MCP servers. Tests agent security via CLI, IDE, or browser extension against…",
"price": {
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"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public SaaS pricing was found in the supplied homepage context."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "alias1",
"name": "Alias1",
"url": "https://aliasrobotics.com/alias1.php",
"short_summary": "Cybersecurity-trained language model designed to power intelligent agents and automate offensive and defensive security tasks without censorship restrictions.…",
"price": {
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"annual_option": {
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"notes": [
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{
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"billing": "subscription",
"lowest_monthly_usd": 392.1,
"monthly_usd": 392.1,
"headline": "From €350/mo; €333/mo equivalent billed annually",
"summary": "From €350/mo; €333/mo equivalent billed annually. CAI PRO is publicly listed at €350 per month or €3,990 per year, with unlimited alias model access and multi-agent security features."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "declaw_arena",
"name": "Declaw Arena",
"url": "https://declaw.ai/arena",
"short_summary": "Interactive security challenge where users attempt to break AI agent sandboxes protected by Declaw runtime policies. Features multiple scenarios including data…",
"price": {
"commercial": {
"rates": [
{
"line": "Sandbox compute",
"per": "per vcpu",
"text": "$14 per vcpu"
}
],
"currency": "USD",
"lines": [
{
"name": "Sandbox free credits",
"price": "$100 grant at account creation",
"kind": "one_off",
"billed": "one_off"
},
{
"name": "Guardrails free credits",
"price": "$200 grant at account creation",
"kind": "one_off",
"billed": "one_off"
},
{
"name": "Sandbox compute",
"price": "14.0 µ$ / vCPU / sec",
"kind": "usage_rate",
"unit": "vcpu",
"billed": "usage"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "One-time packages from $100; $14 per vcpu (usage-based)",
"summary": "One-time packages from $100; $14 per vcpu (usage-based). Declaw uses usage-based billing with no fixed monthly fees, providing one-time account credits before charging a paid balance."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "f5_ai_red_team",
"name": "F5 Ai Red Team",
"url": "https://f5.com/products/ai-red-team",
"short_summary": "An AI security testing product that uses autonomous attacker agents and attack databases to identify prompt injection, jailbreak, and other vulnerabilities in…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "F5 AI Red Team has no publicly displayed pricing on the supplied product or related page."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "ghidrassistmcp",
"name": "Ghidrassistmcp",
"url": "https://github.com/symgraph/GhidrAssistMCP",
"short_summary": "MCP server extension for Ghidra that enables AI assistants and tools to interact with reverse engineering capabilities via standardized API. Provides 49 built-…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for GhidrAssistMCP, an open-source Ghidra extension."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [
{
"agent_id": "cai_framework",
"name": "CAI Framework",
"url": "https://www.aliasrobotics.com/cybersecurityai.php",
"short_summary": "automates offensive and defensive cybersecurity tasks using AI agents (red team, defender, forensics, APT simulation) across IT, OT and robotics systems",
"price": {
"commercial": {
"entry_offer": {
"line": "Monthly option",
"monthly_native": 350,
"monthly_usd": 392.1,
"commitment": "monthly",
"basis": "€350/month",
"billing_verified": true
},
"annual_option": {
"line": "Annual option",
"monthly_equivalent_native": 332.5,
"total_native": 3990
},
"currency": "EUR",
"notes": [
"prices in EUR as published; USD figures are conversions at 2026-10-25"
],
"lines": [
{
"name": "Monthly option",
"price": "€350 / mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Annual option",
"price": "€3,990 / year",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 392.1,
"monthly_usd": 392.1,
"headline": "From €350/mo; €333/mo equivalent billed annually",
"summary": "From €350/mo; €333/mo equivalent billed annually. The homepage displays subscription pricing of €350 per month or €3,990 per year, with no further plan details shown."
},
"home_niche": "ai-security-orchestrator",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "compliant_llm",
"name": "Compliant LLM",
"url": "https://compliantllm.com/",
"short_summary": "monitors and assesses GenAI security and compliance risks, including data exfiltration detection, vendor risk assessment, multimodal LLM red-teaming, and autom…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown; prospective buyers are directed to book a demo."
},
"home_niche": "ai-grc-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "cybersec_toolkit",
"name": "Cybersec Toolkit",
"url": "https://github.com/26zl/cybersec-toolkit",
"short_summary": "MCP server for ethical hacking that installs 580+ security tools and provides 870+ Claude Code skills. Operates as a companion or autonomous agent for CTF, pen…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing information is shown for this open-source GitHub repository."
},
"home_niche": "autonomous-pentest-agent",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/red-team-agent",
"summary": {
"niche": "red-team-agent",
"sector": "security",
"pricing_by_provider_type": {
"headline": "No published benchmark for red-team-agent yet — too few comparable priced providers.",
"benchmarks": [],
"warnings": [
"No priced providers meet the benchmark bar for this scope."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "red-team-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/red-team-agent",
"counts": {
"listings_with_price_capture": 28,
"listings_with_observed_public_price": 5,
"providers_with_numeric_monthly_price_latest_scan": 2,
"like_for_like_comparable_pairs": 2
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": false,
"value_pct": null,
"held_reason": null
}
},
"pricing_version": "cohorts-1",
"pricing_status": "observed_offers_only",
"pricing_by_tier": null,
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "alias1",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "€350 / mo",
"monthly_usd": 399
},
{
"provider": "alias1",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "€3,990 / year",
"monthly_usd": 379.05
}
]
},
{
"billing": "monthly",
"unit": "per_user",
"count": 1,
"offers": [
{
"provider": "viper_rtp",
"tier": "pro",
"billing": "monthly",
"unit": "per_user",
"price": "$9/user/month",
"monthly_usd": 9
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "declaw_arena",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "14.0 µ$ / vCPU / sec",
"monthly_usd": null
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 28,
"listings_with_observed_public_price": 5,
"normalized_observations": 3,
"comparable_providers": 2,
"strict_cohorts": 0,
"exclusion_reasons": {
"usage_not_monthly": 1
}
},
"pricing_note": "No comparable cohort formed (a benchmark needs >=2 providers sharing a buyer tier AND billing unit). observed_offers lists the REAL provider offers, grouped and labelled by billing type — each is a single observed price, never aggregated across mixed units, periods or tiers.",
"pricing_excluded_observations": {
"usage_not_monthly": 1
},
"billing_mix": {
"free": 1,
"freemium": 1,
"subscription": 1,
"usage": 1,
"contact_sales": 1
},
"free_tier_share": 0.4,
"top_providers": [
{
"agent_id": "agentic_security",
"name": "Agentic Security",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"observed": false
},
{
"agent_id": "gandalf_agent_breaker",
"name": "Gandalf Agent Breaker",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"observed": false
},
{
"agent_id": "ment_tech_ai_security",
"name": "Ment Tech Ai Security",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for the AI red teaming services; visitors are directed to schedule a call or request an assessment."
},
"observed": false
},
{
"agent_id": "sweet_attack",
"name": "Sweet Attack",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"observed": false
},
{
"agent_id": "verialabs",
"name": "Verialabs",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS pricing plans or subscription rates are shown on the homepage."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "red-team-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "red-team-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "agentic_security"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "agentic_security"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
3 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
Alias1Cybersecurity-trained language model designed to power intelligent agents and automate offensive and defensive security tasks without censorship restrictions.…
Viper RtpAI-powered red team platform with built-in LLM agents, 100+ post-exploitation modules, automated workflows, and MCP server integration for adversary emulation…Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.