
ARIS (Auto-Research-In-Sleep)
autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial r…
What it does
The specific capability behind this listing, and where to get it.
autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial review loops
Official ARIS (Auto-Research-In-Sleep) links
Pricing & plans
Observed public pricing for ARIS (Auto-Research-In-Sleep), benchmarked against comparable providers. Plans, tiers, history and scenario below.
$4 /mo
The current price sits below the comparable median.
$4 sits below the observed Team flat range ($307.27–$415.73) — around the 25th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark98.9% below the Team flat median.
get_provider_profile · plan historyTeam observed 2026-07-15.
pricing recommendation~25th percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 2 providers).
confidencethin (thin cohort); source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is ARIS (Auto-Research-In-Sleep) good value?
How its price compares with genuinely comparable providers.
Below the comparable median for its buyer tier.
Basis: Team flat plans at the same billing unit (2 providers), USD monthly, pricing observed 2026-07-15. The Team plan ($4/mo) sits 98.9% below that median of $361.5. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Autonomous AI Research Lab
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →ARIS (Auto-Research-In-Sleep)'s local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "aris",
"name": "ARIS (Auto-Research-In-Sleep)",
"url": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"logo": "https://agentery.com/logos/CP-XHGB67-256.png",
"niche": "autonomous-ai-research-lab",
"category": "research-knowledge-work",
"short_summary": "autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial r…",
"task_performed": "autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial review loops",
"inputs_accepted": [
"research ideas/prompts",
"papers",
"code",
"fuzzy story briefs (for movie director)",
"operates via Markdown SKILL.md files driven by LLM agents"
],
"outputs_produced": [
"scored papers",
"identified weaknesses",
"run experiments",
"rewritten narratives",
"generated HTML cheat sheets/homepages/posters",
"blogs",
"multimodal movie scenes"
],
"integrations_available": [
"Claude Code",
"Codex CLI",
"Cursor",
"Trae",
"Antigravity",
"GitHub Copilot CLI",
"OpenClaw",
"Windsurf",
"MCP",
"Codex MCP",
"ModelScope",
"ChatGPT subscription",
"Kimi",
"LongCat",
"DeepSeek",
"MiniMax-M3",
"GLM-5",
"Claude Fleet"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"ML/AI research",
"plus extended to investment due diligence",
"legal research",
"market research",
"self-learning",
"investigative journalism",
"engineering retrospectives"
],
"autonomy_level": "agentic",
"human_approval_needed": "sometimes required",
"pricing_model": "freemium",
"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 paid plan details were observed in the supplied homepage context.",
"confidence": "medium",
"source_url": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"checked_at": "2026-10-22T01:13:57.746Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"12.2k GitHub stars",
"1.1k forks",
"MIT license",
"community papers showcase",
"named contributor credits",
"community group"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep"
],
"last_checked": "2026-10-22",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-22",
"how_to_connect": {
"website": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"aris\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": [],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 198,
"uptime_7d": 1,
"checked_at": "2026-10-28T02:32:00.211Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}