Agentery pricing intelligence · Provider profile · AReaL
Provider profile · independently tracked by Agentery
AReaL
Provides reinforcement learning infrastructure to train and bridge foundation models with LLM-based agent applications (math, coding, search, customer service,…
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Provides reinforcement learning infrastructure to train and bridge foundation models with LLM-based agent applications (math, coding, search, customer service, vision-language agents)
Datasets, base models, YAML configs, base_url/api_key for agent runtimes → Trained RL models, training curves, benchmark results
SGLangvLLMOpenAI Agents SDKCAMEL-AIRaySkyPilotGCPAWSSDKautonomy: infrastructure
Price status · observed daily
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is AReaL good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Observed commercial pricenone
NicheAgent Framework Open Source
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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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": "areal",
"name": "AReaL",
"url": "https://github.com/areal-project/AReaL",
"logo": "https://agentery.com/logos/CP-DWF9C7-256.png",
"niche": "agent-framework-open-source",
"category": "developer-tools-infra",
"short_summary": "Provides reinforcement learning infrastructure to train and bridge foundation models with LLM-based agent applications (math, coding, search, customer service,…",
"task_performed": "Provides reinforcement learning infrastructure to train and bridge foundation models with LLM-based agent applications (math, coding, search, customer service, vision-language agents)",
"inputs_accepted": [
"Datasets",
"base models",
"YAML configs",
"base_url/api_key for agent runtimes"
],
"outputs_produced": [
"Trained RL models",
"training curves",
"benchmark results"
],
"integrations_available": [
"SGLang",
"vLLM",
"OpenAI Agents SDK",
"CAMEL-AI",
"Ray",
"SkyPilot",
"GCP",
"AWS",
"Kubernetes",
"Huawei NPU"
],
"protocols_or_interfaces": [
"SDK"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:47:51.132Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"5.3k GitHub stars",
"522 forks",
"developed by Tsinghua IIIS and Ant Group",
"Apache-2.0 license",
"research paper"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/areal-project/AReaL"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/areal-project/AReaL",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"areal\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 821,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:13.645Z",
"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."
}