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Card: mcp/ai-infrastructure tags, full tool list, referral note

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  1. README.md +6 -4
README.md CHANGED
@@ -1,7 +1,8 @@
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  ---
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  license: cc-by-4.0
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  pretty_name: Lantern Works GPU Rental Price History
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- tags: [gpu, cloud-pricing, h100, a100, time-series]
 
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  size_categories: [n<1K]
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  configs:
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  - config_name: points
@@ -11,7 +12,7 @@ configs:
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  ---
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  # Lantern Works GPU Rental Price History
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- A daily history of per-GPU-hour rental prices from tracked cloud GPU providers (H100, H200, A100, L40S, RTX 4090/5090, RTX A6000, B200 and others). **This covers tracked providers only, not the whole market.**
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  Snapshot range: 2026-10-27 to 2026-10-29 (3 daily snapshots). The files hold 114 price series, 133 change points and 14 price changes.
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@@ -24,7 +25,7 @@ Lantern Works runs a free, read-only MCP server (no API key) over the same live
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  For Claude Desktop, Cursor or VS Code, add `https://lantern-works-mcp.lantern-works.workers.dev/mcp?ref=hf` as an HTTP MCP server. The hosted endpoint adds four opt-in price-watch tools (`create_watch_key`, `watch_price`, `list_watches`, `delete_watch`) to the 9 package tools.
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- **Stdio (local, 9 tools):**
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  claude mcp add lantern-works-deals -- uvx lantern-works-deals-mcp
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  {"mcpServers": {"lantern-works-deals": {"command": "uvx", "args": ["lantern-works-deals-mcp"]}}}
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- Main GPU tools: `compare_gpu_prices`, `get_price_changes`, `estimate_job_cost`, `rebuild_quote`.
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  Example prompt:
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  ## Sources and method
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  - Each rate comes from the vendor's own pricing page or API (`source_url`). A daily job re-reads every source (robots.txt respected) and updates a price only where it parsed one. A rate not re-verified for 7 days is held and not ranked.
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  - Prices are list prices before tax, storage and egress. Check the vendor page before you pay.
 
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  ## Update cadence
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  Upstream refreshes daily at about 10:23 UTC. This dataset copy is a snapshot and can lag the live feed until it is re-published.
 
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  ---
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  license: cc-by-4.0
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  pretty_name: Lantern Works GPU Rental Price History
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+ language: [en]
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+ tags: [gpu, cloud-pricing, h100, a100, time-series, mcp, ai-infrastructure]
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  size_categories: [n<1K]
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  configs:
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  - config_name: points
 
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  ---
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  # Lantern Works GPU Rental Price History
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+ A daily history of per-GPU-hour rental prices from tracked cloud GPU providers (H100, H200, A100, L40S, RTX 4090/5090, RTX A6000, B200 and others), currently from 27 vendors in the live feed. **This covers tracked providers only, not the whole market.**
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  Snapshot range: 2026-10-27 to 2026-10-29 (3 daily snapshots). The files hold 114 price series, 133 change points and 14 price changes.
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  For Claude Desktop, Cursor or VS Code, add `https://lantern-works-mcp.lantern-works.workers.dev/mcp?ref=hf` as an HTTP MCP server. The hosted endpoint adds four opt-in price-watch tools (`create_watch_key`, `watch_price`, `list_watches`, `delete_watch`) to the 9 package tools.
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+ **Stdio (local, 9 tools, PyPI `lantern-works-deals-mcp` 0.6.0):**
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  claude mcp add lantern-works-deals -- uvx lantern-works-deals-mcp
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  {"mcpServers": {"lantern-works-deals": {"command": "uvx", "args": ["lantern-works-deals-mcp"]}}}
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+ Package tools: `compare_gpu_prices`, `get_price_changes`, `estimate_job_cost`, `rebuild_quote`, `optimize_stack`, `optimize_agent_stack` (estimates a monthly stack cost from a plain-text agent description), `search_deals`, `compare_deals`, `get_deal`.
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  Example prompt:
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  ## Sources and method
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  - Each rate comes from the vendor's own pricing page or API (`source_url`). A daily job re-reads every source (robots.txt respected) and updates a price only where it parsed one. A rate not re-verified for 7 days is held and not ranked.
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  - Prices are list prices before tax, storage and egress. Check the vendor page before you pay.
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+ - Some vendor links on the Lantern Works site and in MCP results may be referral links. They are labelled, and they do not affect which prices are listed or how they are ranked. `source_url` in these files is always the vendor's own pricing page.
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  ## Update cadence
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  Upstream refreshes daily at about 10:23 UTC. This dataset copy is a snapshot and can lag the live feed until it is re-published.