Nyquistai

{
  "agent_id": "nyquistai_mcp",
  "name": "Nyquistai",
  "url": "https://nyquistai.com/mcp-doc",
  "logo": "https://www.google.com/s2/favicons?domain=nyquistai.com&sz=128",
  "niche": "ai-pharma-research",
  "category": "healthcare-ops",
  "short_summary": "Read-only MCP server providing ChatGPT, Claude, and custom MCP clients with live FDA medical device intelligence, global clinical trial data, regulatory inform…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "subscription",
    "currency": "USD",
    "lowest_monthly_usd": 299,
    "monthly_usd": 299,
    "headline": "From $299/mo",
    "summary": "From $299/mo. NyquistAI lists monthly per-seat subscriptions starting at $299, with lower per-month rates for annual billing and custom enterprise options available through sales.",
    "confidence": "high",
    "source_url": "https://www.nyquistai.com/pricing",
    "checked_at": "2026-07-28T04:21:04.693Z",
    "amount": 299,
    "display": "From $299/mo",
    "plans": [
      {
        "name": "Nyquist Pharma",
        "price": "$299 per month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "Global pharma data",
          "Global clinical trial data",
          "Adverse event data",
          "GuidanceIQ",
          "NyquistIQ"
        ],
        "price_annual": "$239/mo. billed yearly"
      },
      {
        "name": "Nyquist MedTech",
        "price": "$349 per month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "Global medical device data",
          "Global clinical trial data",
          "Adverse event data",
          "GuidanceIQ",
          "NyquistIQ"
        ],
        "price_annual": "$279/mo. billed yearly"
      },
      {
        "name": "All Access",
        "price": "$459 per month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "All Pharma data sources",
          "All MedTech data sources"
        ],
        "price_annual": "$367/mo. billed yearly"
      },
      {
        "name": "Nyquist Scholar",
        "price": "$299 per month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "Comprehensive data access",
          "Paper management",
          "Screening process",
          "Predictive screening AI",
          "Extraction and reporting"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise Bundle",
        "price": "Contact Sales",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Custom solution",
          "Sales consultation required"
        ],
        "price_annual": null
      },
      {
        "name": "Software Customization",
        "price": "Contact Sales",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Custom software solution",
          "Sales consultation required"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://nyquistai.com/mcp-doc"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://nyquistai.com/mcp-doc",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 574,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:36.935Z",
    "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."
}