Agentery pricing intelligence · Agent profile · Aegis Autonomous AI Agent Platform
Agent profile · independently tracked by Agentery
AA

Aegis Autonomous AI Agent Platform

aegisagent.ai official website

Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration

agentPricing checked daily
Agentery value verdictPriced near the marketfrom $50/mo
Observed entry price$50/molowest observed monthly
Billing modelusage-based
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Aegis Autonomous AI Agent Platform

Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration

Goals/commands via WhatsApp, Discord, Telegram, dashboard, voice (Vonage) calls, email, API calls, topics → Research syntheses with citations, blog posts, morning briefings, email triage/classification, code reviews/PR reviews, summaries, action items, alerts
DiscordWhatsAppTelegramEmailVonageGitHubStripePostgreSQLA2AMCPwebhooksautonomy: agentic

Pricing & plans

Observed public pricing for Aegis Autonomous AI Agent Platform, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Standard · market position

$50 /mo

72.4% above the Pro flat median (7 providers, USD). Cheaper than 5 of 11 comparable Pro providers.
this agent · $50
$22median $29$79
observed 2026-07-07 · rechecked daily · source evidence retained
What should this agent charge?

This plan is priced at a premium.

pricing recommendation
$50
$22$79
$29

$50 sits inside the observed Pro flat range ($22–$79) — around the 61th percentile of observed prices — squarely at market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

72.4% above the Pro flat median.

get_agent_profile · plan history

Standard observed 2026-07-07.

pricing recommendation

~61st percentile of comparable Pro flat plans.

confidence

medium; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$50 / month
$22 lowestmedian $29$87 highest
Premium position. At $50/month, this plan is 72.4% above the niche median.
43rd
+72.4%
$22$79

Is Aegis Autonomous AI Agent Platform good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$50/mo
NicheDeep Research Agent
Price benchmarkapplicable
How it compares

Compared with Deep Research Agent

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Comparable Deep Research Agent

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "agent_id": "aegisagent",
  "name": "Aegis Autonomous AI Agent Platform",
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  "logo": null,
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  "category": "research-knowledge-work",
  "short_summary": "Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration",
  "task_performed": "Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration",
  "inputs_accepted": [
    "Goals/commands via WhatsApp",
    "Discord",
    "Telegram",
    "dashboard",
    "voice (Vonage) calls",
    "email",
    "API calls",
    "topics",
    "content",
    "code/repos",
    "meeting transcripts (VTT/SRT)"
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  "outputs_produced": [
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    "blog posts",
    "morning briefings",
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    "action items",
    "alerts",
    "reports",
    "CRM-style logs"
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    "Docker",
    "Traefik",
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    "MCP",
    "Webhooks",
    "OpenTelemetry",
    "LangGraph"
  ],
  "protocols_or_interfaces": [
    "A2A",
    "MCP",
    "webhooks"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "sometimes required",
  "pricing_model": "usage-based",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://aegisagent.ai/",
    "checked_at": "2026-07-26T05:02:23.687Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Open source GitHub repo",
    "Live self-operating system for 15 days",
    "Self-generated case studies (notebooks, blog posts, intel briefings)"
  ],
  "evidence_quality": "high",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://aegisagent.ai/",
    "https://aegisagent.ai/blog/2026-01-06-research-api-launch",
    "https://aegisagent.ai/.well-known/agent.json"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://aegisagent.ai/",
    "docs": "https://aegisagent.ai/docs",
    "mcp": null,
    "a2a": {
      "card_url": "https://aegisagent.ai/.well-known/agent.json"
    },
    "api": null,
    "protocols": [
      "A2A",
      "MCP"
    ]
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 105,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:30:11.267Z",
    "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."
}