Sparkient

{
  "agent_id": "sparkient",
  "name": "Sparkient",
  "url": "https://sparkient.ai/",
  "logo": "https://agentery.com/logos/CP-ATF2W2-256.png",
  "niche": "enterprise-ai-platform",
  "category": "developer-tools-infra",
  "short_summary": "Make structured decisions in under 100ms — faster than any LLM API call. Define any decision type your app needs, train a lightweight ML model from AI-generate…",
  "task_performed": "Make structured decisions in under 100ms — faster than any LLM API call. Define any decision type your app needs, train a lightweight ML model from AI-generated examples, and get instant decisions with confidence scores and reason codes. No ML team or historical data required. From moderation to routing to fraud — if an LLM can judge it, Sparkient can compile it.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 199,
    "monthly_usd": 199,
    "headline": "Free tier, then from $199/mo",
    "summary": "Free tier, then from $199/mo. Sparkient offers a free $0 tier, followed by monthly Starter, Growth, and Enterprise plans priced at $199, $599, and $1,999 per month.",
    "confidence": "high",
    "source_url": "https://sparkient.ai/pricing",
    "checked_at": "2026-07-28T05:14:52.661Z",
    "amount": 199,
    "display": "From $199/mo",
    "plans": [
      {
        "name": "Free",
        "price": "$0",
        "period": "month",
        "persona": "free",
        "highlights": [
          "5,000 credits",
          "1 decision type",
          "250 total decisions",
          "Playground access",
          "Community support"
        ],
        "price_annual": null
      },
      {
        "name": "Starter",
        "price": "$199 /mo",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "50,000 credits/mo",
          "3 decision types",
          "Unlimited decisions",
          "Model training and deployment",
          "Email support"
        ],
        "price_annual": null
      },
      {
        "name": "Growth",
        "price": "$599 /mo",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "200,000 credits/mo",
          "10 decision types",
          "Unlimited decisions",
          "Edge bundle export",
          "Priority support"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "$1,999 /mo",
        "period": "month",
        "persona": "enterprise",
        "highlights": [
          "1,000,000 credits/mo",
          "50 decision types",
          "Unlimited decisions",
          "Dedicated support",
          "Custom SLAs"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Smithery-verified"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://sparkient.ai/"
  ],
  "last_checked": "2026-06-30",
  "how_to_connect": {
    "website": "https://sparkient.ai/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 682,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:38:16.607Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 5000,
      "unit": "credits",
      "per": "total",
      "raw": "5,000 credits",
      "plan": "Free"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}