Hyperresearch MCP Server

{
  "agent_id": "hyperresearch_mcp",
  "name": "Hyperresearch MCP Server",
  "url": "https://hyperresearch.ai/docs/mcp",
  "logo": "https://www.google.com/s2/favicons?domain=hyperresearch.ai&sz=128",
  "niche": null,
  "category": null,
  "short_summary": "MCP server connecting AI agents to Hyperresearch evidence and research tools, including vault access, research runs, verification, scholarly lookup, and web fe…",
  "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": "usage",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "$9 per run (Light) — usage-based",
    "summary": "Hyperresearch charges $9 per Light run or $49 per Deep run, with usage billed monthly and no monthly subscription.",
    "confidence": "high",
    "source_url": "https://hyperresearch.ai/docs/billing.html",
    "checked_at": "2026-10-01T03:00:15.188Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Light",
        "price": "$9 per run",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Charged per run",
          "Billed on one monthly invoice"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Deep",
        "price": "$49 per run",
        "usage": true,
        "period": "usage",
        "persona": "pro",
        "highlights": [
          "Charged per run",
          "Billed on one monthly invoice"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://hyperresearch.ai/docs/mcp",
    "https://github.com/jordan-gibbs/hyperresearch"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://hyperresearch.ai/docs/mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": null,
    "repository": null
  },
  "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": {
      "source_url": "https://hyperresearch.ai/docs/billing.html",
      "last_observed_day": "2026-10-01",
      "age_days": 1,
      "verified_day": "2026-10-01",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 323,
    "uptime_7d": null,
    "checked_at": "2026-10-01T02:37:01.382Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 9,
      "unit": "runs",
      "usdPer1k": 9000,
      "raw": "$9 per run",
      "plan": "Light"
    }
  },
  "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."
}