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Nanobase

↗ nanobaselabs.com/api official website

Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Arch…

infrastructure
Agentery price verdictNo pricing observed
Billing model—
Last observation—pricing pages rechecked daily

What it does

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

Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Architecture) logic is the new standard. Nanocolloidal, liposomal and nanomicellar domains coexist in one chassis, held stable by electrostatic (DLVO) design, so the formula is the delivery system. NanoBase™ is the Architecture TDA logic is built on, and this server teaches your AI assistant to formulate with it. Build modern nanocosmetics, cold: - No heating, no hot oil and water phases, no high-shear homogenizer. Actives go in at room temperature with gentle mixing, which also spares heat-sensitive actives. - No specialized nano equipment. A scale, beakers, an overhead mixer and a pH meter are enough. - No emulsifier blends to source, weigh or balance. The Architecture replaces them. - Every finished formula is a true nanoformulation: on average about 250 nm, a quarter of a micron, measured by DLS. What your AI can do: - Learn TD

MCPMCPautonomy: infrastructure

Official Nanobase 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 Nanobase 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
Niche—
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.

Nanobase's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

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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": "nanobase",
  "name": "Nanobase",
  "url": "https://nanobaselabs.com/api",
  "logo": "https://agentery.com/logos/CP-HAG2FR.png",
  "niche": null,
  "category": null,
  "short_summary": "Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Arch…",
  "task_performed": "Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Architecture) logic is the new standard. Nanocolloidal, liposomal and nanomicellar domains coexist in one chassis, held stable by electrostatic (DLVO) design, so the formula is the delivery system. NanoBase™ is the Architecture TDA logic is built on, and this server teaches your AI assistant to formulate with it.\n\nBuild modern nanocosmetics, cold:\n- No heating, no hot oil and water phases, no high-shear homogenizer. Actives go in at room temperature with gentle mixing, which also spares heat-sensitive actives.\n- No specialized nano equipment. A scale, beakers, an overhead mixer and a pH meter are enough.\n- No emulsifier blends to source, weigh or balance. The Architecture replaces them.\n- Every finished formula is a true nanoformulation: on average about 250 nm, a quarter of a micron, measured by DLS.\n\nWhat your AI can do:\n- Learn TD",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
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  ],
  "last_checked": "2026-10-12",
  "how_to_connect": {
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "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": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
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    "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."
}