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Luma AI Co-scientist

dotmatics.com/luma official website

Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research

tool
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

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

Luma AI Co-scientist

Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research

Multimodal scientific data from lab instruments and databases, structured and unstructured data, raw instrument data and metadata → Structured/analyzable data representations, insights, charts, dashboards, scientific visualizations, automated analysis
Luma Lab Connectlab instrumentsscientific software databasesDotmatics ELNGeneiousGraphPad PrismFCS Expressautonomy: workflow automation
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 Luma AI Co-scientist 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
What to compare instead

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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": "dotmatics_luma",
  "name": "Luma AI Co-scientist",
  "url": "https://www.dotmatics.com/luma",
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  "category": "research-knowledge-work",
  "short_summary": "Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research",
  "task_performed": "Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research",
  "inputs_accepted": [
    "Multimodal scientific data from lab instruments and databases",
    "structured and unstructured data",
    "raw instrument data and metadata"
  ],
  "outputs_produced": [
    "Structured/analyzable data representations",
    "insights",
    "charts",
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  ],
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    "Geneious",
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  ],
  "protocols_or_interfaces": [],
  "industry_fit": [
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    "drug discovery",
    "pharma",
    "chemicals & materials",
    "biologics"
  ],
  "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://www.dotmatics.com/luma",
    "checked_at": "2026-07-26T04:58:35.446Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
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  "trust_or_rating_signal": [
    "customer story with US pharma organization (flow cytometry)",
    "CEO/VP media interviews",
    "case studies"
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  "evidence_quality": "low",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://www.dotmatics.com/luma",
    "https://aiagentstore.ai/ai-agent-news/this-week"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
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    "docs": "https://aiagentstore.ai/developer",
    "mcp": null,
    "a2a": {
      "card_url": "https://aiagentstore.ai/.well-known/a2a.json"
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    "api": {
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      "endpoint": null
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    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 786,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:33:06.991Z",
    "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."
}