Update to Compute Screener

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  "created_at": "2026-10-24T16:48:48.819876Z",
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    "description": "Compute prices: GPU rental price indices, compute futures prices and AI token prices, with history.",
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        "Break-even throughput"
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      "category": "Data & Analytics",
      "composer_icon_dark_url": null,
      "composer_icon_url": "https://files.openai.com/content?id=file_00000000f6308207a03d78c0fa6d0e5f",
      "default_prompt": "What does it cost to rent an H100 per hour?",
      "default_prompts": [
        "What does it cost to rent an H100 per hour?",
        "What are H100 compute futures trading at?",
        "Which AI company's tokens cost the most?"
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      "long_description": "Compute prices: daily GPU rental indices for the H100, H200, A100, B200, B300, RTX PRO 6000, RTX 5090 and the other GPUs the site lists, compute futures prices on the exchanges that list them, and AI token prices for 13 AI companies.\n\nGPU rental prices: a daily price index in USD per GPU-hour for each GPU the site lists, with 1-day, 1-week and 1-month changes. Each index is recalculated every minute from the posted on-demand prices of cloud providers and GPU marketplaces (20 sources), standardized to one benchmark contract.\n\nCompute futures and providers: for one GPU, each exchange's compute futures price (the last price and 24-hour volume of the contracts on that GPU's rental price) and each provider's average price. Every contract is at computescreener.com/futures.\n\nAI token prices: a daily index in USD per 1M tokens for 13 AI model makers: each company's models at their posted prices for a cache-heavy mix (87% cache reads, 12% input, 1% output), weighted by usage, with each model's share of usage and posted prices.\n\nPrice history: daily values for any GPU or company, up to 1,000 days back, and any GPU's price at a past date or time.\n\nModels and providers: each AI model's posted API prices and price changes, each GPU provider's posted prices, and every other GPU's posted prices (A40, L4, V100 and over 70 more).\n\nChanges and checks: what moved over 1, 5, 7 or 30 days, the break-even throughput of each model on each GPU, and for any final value the manifest of the files it was computed from, so anyone can recompute it.\n\nMore data: wholesale electricity prices at Texas and California hubs, AI coding tools by usage, and AI data center sites, through search and fetch.\n\nEvery answer is what the website shows and links to its page on computescreener.com; the methodology is public at computescreener.com/methodology. No account is needed: the plugin only reads published prices and keeps no record of requests.",
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