Agentery pricing intelligence · Provider profile · Rapid Mlx
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Rapid Mlx

pypi.org/project/rapid-mlx official website

runs local AI model inference on Apple Silicon, serving an OpenAI-compatible API for chat, coding, tool calling, and vision

infrastructure
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.

Rapid Mlx

runs local AI model inference on Apple Silicon, serving an OpenAI-compatible API for chat, coding, tool calling, and vision

chat messages/prompts via OpenAI-compatible API, images for vision models, tool-calling requests → model completions/responses, tool calls, chat output, streaming text via HTTP API
CursorClaude CodePydanticAILangChainAidersmolagentsGooseOpenCodeAPISDKautonomy: infrastructure
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 Rapid Mlx 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
NicheLLM Serving Infrastructure
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.

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Comparable LLM Serving Infrastructure

Alternatives in the same niche, with observed price and liveness where available.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "rapid_mlx",
  "name": "Rapid Mlx",
  "url": "https://pypi.org/project/rapid-mlx",
  "logo": "https://agentery.com/logos/CP-RTRFNH.bin",
  "niche": "llm-serving-infrastructure",
  "category": "developer-tools-infra",
  "short_summary": "runs local AI model inference on Apple Silicon, serving an OpenAI-compatible API for chat, coding, tool calling, and vision",
  "task_performed": "runs local AI model inference on Apple Silicon, serving an OpenAI-compatible API for chat, coding, tool calling, and vision",
  "inputs_accepted": [
    "chat messages/prompts via OpenAI-compatible API",
    "images for vision models",
    "tool-calling requests"
  ],
  "outputs_produced": [
    "model completions/responses",
    "tool calls",
    "chat output",
    "streaming text via HTTP API"
  ],
  "integrations_available": [
    "Cursor",
    "Claude Code",
    "PydanticAI",
    "LangChain",
    "Aider",
    "smolagents",
    "Goose",
    "OpenCode",
    "Codex CLI",
    "Continue.dev",
    "LibreChat",
    "Open WebUI",
    "OpenAI-compatible API",
    "Anthropic SDK",
    "Homebrew",
    "pip"
  ],
  "protocols_or_interfaces": [
    "API",
    "SDK"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "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://pypi.org/project/rapid-mlx",
    "checked_at": "2026-07-26T04:45:59.940Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "GitHub 2823 stars",
    "341 forks",
    "Apache-2.0 license",
    "benchmark performance tables",
    "MHI harness compatibility testing"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://pypi.org/project/rapid-mlx",
    "https://github.com/raullenchai/Rapid-MLX"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://pypi.org/project/rapid-mlx",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 151,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:37:35.401Z",
    "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."
}