Agentery pricing intelligence · Agent profile · Manifold Ai
Agent profile · independently tracked by Agentery

Manifold Ai
Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort s…
Agentery price verdictNo pricing observed
Billing model—
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort sizes, and validating hypotheses via natural language
Natural language queries, multimodal data (clinical, genomic, imaging, and file-based datasets) → Insights, visualizations, cohorts, tables, editable code, queries, dataframes, and step-by-step explanations with audit trails
Model Context Protocol (MCP)JupyterRSQLWDLNextflowMCPautonomy: workflow automation
Official Manifold 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 Manifold 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
NicheAutonomous AI Research Lab
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": "manifold_ai",
"name": "Manifold Ai",
"url": "https://manifold.ai/platform/ai-agents",
"logo": "https://agentery.com/logos/CP-QFN5AA-256.png",
"niche": "autonomous-ai-research-lab",
"category": "research-knowledge-work",
"short_summary": "Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort s…",
"task_performed": "Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort sizes, and validating hypotheses via natural language",
"inputs_accepted": [
"Natural language queries",
"multimodal data (clinical",
"genomic",
"imaging",
"and file-based datasets)"
],
"outputs_produced": [
"Insights",
"visualizations",
"cohorts",
"tables",
"editable code",
"queries",
"dataframes",
"and step-by-step explanations with audit trails"
],
"integrations_available": [
"Model Context Protocol (MCP)",
"Jupyter",
"R",
"SQL",
"WDL",
"Nextflow"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"life sciences / scientific research (clinical",
"genomic",
"omics",
"bioinformatics)"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "enterprise/contact sales",
"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://manifold.ai/platform/ai-agents",
"checked_at": "2026-08-30T05:46:57.643Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"enterprise-grade security claims",
"audit trails and provenance",
"executive testimonial (CPO + Co-founder)"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "enterprise security page only",
"evidence_urls": [
"https://manifold.ai/platform/ai-agents"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://manifold.ai/platform/ai-agents",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 5552,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:38:03.327Z",
"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."
}