Card: hosted MCP quickstart, ref-tagged links
Browse files
README.md
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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
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data_files: gpu_price_points.csv
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- config_name: changes
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data_files: gpu_price_changes.csv
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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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## Query the live data with an MCP agent
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Lantern Works runs a free, read-only MCP server (no API key) over the same live feed this dataset is built from.
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**Hosted endpoint (nothing to install, 13 tools):**
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claude mcp add --transport http lantern-works-deals "https://lantern-works-mcp.lantern-works.workers.dev/mcp?ref=hf"
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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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or in an MCP client config:
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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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> Find the cheapest tracked H100 rental, estimate a 100-hour run on it, and tell me whether that rate changed since yesterday. Show the vendor source and check time for each price.
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## Files
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- `gpu_price_points.csv`: one row per change point. Each row is the first snapshot date at that price or status for a series (vendor | gpu | tier | vram_gb | gpu_count). Columns: key, vendor, gpu, tier, vram_gb, gpu_count, billing_unit, first_seen, date, hourly_usd, price_usd, status, verified_at.
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- `status`: `ranked`; `held` (published but not ranked, either stale or too thin a marketplace); or `removed` (no longer tracked).
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- `gpu_price_changes.csv`: day-over-day price changes (from_hourly_usd, to_hourly_usd, change_pct, source_url).
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- `history.json`: the raw upstream file.
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## Live feeds (always current)
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- Current prices: https://thelanternworks.com/api/v1/gpu-prices.json?ref=hf
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- Changes since yesterday: https://thelanternworks.com/api/v1/gpu-price-changes.json?ref=hf
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- Upstream history: https://thelanternworks.com/api/v1/gpu-prices/history.json?ref=hf
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In a notebook:
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import json, urllib.request
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feed = json.load(urllib.request.urlopen("https://thelanternworks.com/api/v1/gpu-prices.json?ref=hf"))
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h100 = sorted((r for r in feed["rates"] if r["canonical_model"] == "H100"), key=lambda r: r["hourly_equiv_usd"])
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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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## License
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The price data is licensed CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Credit: Lantern Works (https://thelanternworks.com/?ref=hf). Prices are factual quotes from the vendors' public pages. The MCP server code is MIT.
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More: https://thelanternworks.com/install/?ref=hf
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