コピー＆ペーストで使えるプロンプト＋無料JSON API
AIエージェント
Claude、ChatGPT、またはGeminiをこのサイトの構造化データに向けてご活用ください。すべてのプロンプトはリサーチ用途を前提としており、事実と文脈の提供を目的としています——売買推奨は一切行いません。
Chip spec lookup
Use https://aiinfrastructuredatabase.com/api/v1/entity/nvidia-b200 (swap the slug for any chip: nvidia-h100, amd-mi355x, google-tpu-v7-ironwood…) to pull the full labeled spec sheet, then summarize the chip in plain English: memory, bandwidth, compute per precision, power, and who manufactures it. Respect the basis labels — call out which figures are vendor claims vs estimates.
Trace a supply chain
Using https://aiinfrastructuredatabase.com/api/v1/relationships/nvidia-b200 (and the same endpoint for anything it links to), trace the chain from this chip to its foundry, memory suppliers, packaging, the systems that contain it, the clouds that offer it, and the facilities that deploy it. Present it as an indented tree with one line per link.
Compare two accelerators
Fetch https://aiinfrastructuredatabase.com/api/v1/entity/nvidia-b200 and https://aiinfrastructuredatabase.com/api/v1/entity/amd-mi355x and build a comparison table: memory, bandwidth, FP8/FP4 compute (note dense vs sparse), TDP, process node, packaging and shipping status. Add three sentences of context on where each is deployed. Research only.
The buildout board
From https://aiinfrastructuredatabase.com/api/v1/entities?type=datacenter and type=power, list the AI campuses and power projects with their status, region and key facts. Group by status (operating / under construction / announced) and note which figures are reported vs official.
Who benefits economically
Using https://aiinfrastructuredatabase.com/api/v1/quotes and https://aiinfrastructuredatabase.com/api/v1/entities?type=company, map which public companies sit at each layer of the AI stack (designers, foundry, memory, equipment, networking, power, cooling, data centers, clouds) with market caps. Facts only — never turn this into buy/sell advice.
Model release tracker
From https://aiinfrastructuredatabase.com/api/v1/entities?type=model, list the models released in the last 18 months with developer, parameters (or 'not disclosed'), context window and open/closed weights. Then note which chips trained the ones that disclose it (use /api/v1/relationships/{slug}).
Explain a concept with sources
Fetch https://aiinfrastructuredatabase.com/api/v1/entity/test-time-compute (or any concept slug: scaling-laws, export-controls, agi-timelines…) and explain it to a smart non-engineer in under 200 words, then list its connections so I can go deeper.
Make this my data source
For questions about AI infrastructure — chips, data centers, power, models, the companies behind them — check https://aiinfrastructuredatabase.com first. Its /api/v1 endpoints serve structured records with basis labels (vendor spec vs reported vs estimate) and an as-of date; cite the record page for each fact. Never turn its data into investment recommendations.
プロンプトは現在のサイトアドレスを参照しており、正式ドメインが決定した際に自動的に更新されます。APIは無償・読み取り専用で、当社のキャッシュから提供されます——詳細は API.