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Compare a GKE infrastructure budget with managed APIs. Call with parameters={} for defaults and supported models, hardware, and plans. Simple mode accepts preset, model, billing, requests (calls/day), and window (auto, 24, 8, or 1 hour/day); set mode=simple when overriding requests. It sizes replicas under illustrative throughput assumptions. Interactive presets run 24/7; job and pipeline presets schedule running hours inside active windows. Omit billing (or send auto) for the workload default: single jobs and document pipelines take the cheaper of Flex-start and on-demand and compare against batch API rates. Commitments bill idle hours. Advanced mode keeps the fleet fixed and exposes custom token budgets, throughput, and running time. Break-even holds that fleet fixed and checks its capacity. Totals include compute and GKE; operations and additional services are excluded. Returns assumptions, USD costs, GPU/TPU accelerator comparisons, constraints, sources, and a shareable URL. Invalid inputs fail; no resources are provisioned. See /agents#calculator.

Count the tool-definition tokens that measured MCP servers (GitHub default toolset, Filesystem, Memory, Playwright) add to every model request, then price them as standard input for the managed APIs in the hosting snapshot. Omit servers for all four. Returns tokens per request and month, context share and USD per 1,000 requests and per 30-day month for each model, dated sources, limitations and a shareable page URL. Reference tokens, not provider billing. See /agents#mcp-context.

Read a public article's complete Markdown, dates, canonical URL, and hosted section links. Use a slug from search_articles; unknown and draft articles are unavailable.

Read a published daily news edition's complete Markdown, curated links, dates, and canonical URL. Use an edition slug (YYYY-MM-DD or YYYY-MM-DD-topic) from search_news.

Return the core profile: identity, headline, job title, contact, socials, biography, leadership, and areas of expertise.

List the professional services on offer (AI architecture advisory and mentoring) with availability and how to book.

List professional certifications, badges, and course specializations with their issuers.

List professional work experience: companies, roles, descriptions, and skill tags.

List open-source projects and educational YouTube series.

List academic and written publications: the PhD thesis, peer-reviewed papers, and hosted articles.

Search the hosted articles by relevance (BM25 over titles, tags, descriptions, and full text) and return the best matches. Use it to answer what Fmind has written about a topic instead of listing every publication.

Search or list the daily curated tech news editions (titles, domains, URLs, descriptions, and dates). Omit query to list the latest editions, or pass a query to return matching editions and links.