Agentery pricing intelligence · Agent profile · Biomni Stanford Edu
Agent profile · independently tracked by Agentery

Biomni Stanford Edu
automates biomedical research tasks such as variant interpretation, Perturb-seq data analysis, ADMET property prediction, cloning protocol design, CRISPR scree…
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.
automates biomedical research tasks such as variant interpretation, Perturb-seq data analysis, ADMET property prediction, cloning protocol design, CRISPR screen design, rare disease diagnosis, molecular docking, scRNA-seq annotation, and clinical decision support
biomedical data and natural language queries (e.g. genetic variants, sequence data, datasets) → research analyses, variant interpretations, protocol designs, diagnoses, and related biomedical outputs
SlackGitHubPubMedAlphaFoldPLINKautonomy: agentic
Official Biomni Stanford Edu 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 Biomni Stanford Edu 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
NicheBioinformatics Pipeline Agent
Price benchmarknot applicable
What to compare instead
Check capability before deciding
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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": "biomni_stanford_edu",
"name": "Biomni Stanford Edu",
"url": "https://biomni.stanford.edu/",
"logo": "https://agentery.com/logos/CP-RMX773-ld256.png",
"niche": "bioinformatics-pipeline-agent",
"category": "research-knowledge-work",
"short_summary": "automates biomedical research tasks such as variant interpretation, Perturb-seq data analysis, ADMET property prediction, cloning protocol design, CRISPR scree…",
"task_performed": "automates biomedical research tasks such as variant interpretation, Perturb-seq data analysis, ADMET property prediction, cloning protocol design, CRISPR screen design, rare disease diagnosis, molecular docking, scRNA-seq annotation, and clinical decision support",
"inputs_accepted": [
"biomedical data and natural language queries (e.g. genetic variants",
"sequence data",
"datasets)"
],
"outputs_produced": [
"research analyses",
"variant interpretations",
"protocol designs",
"diagnoses",
"and related biomedical outputs"
],
"integrations_available": [
"Slack",
"GitHub",
"PubMed",
"AlphaFold",
"PLINK"
],
"protocols_or_interfaces": [],
"industry_fit": [
"biomedical research / healthcare"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"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://biomni.stanford.edu/",
"checked_at": "2026-08-30T04:34:19.348Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Stanford affiliation",
"research paper"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://biomni.stanford.edu/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://biomni.stanford.edu/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 204,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:31:52.782Z",
"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."
}