# Scrutica > The AI compute infrastructure intelligence platform built for governance research. Scrutica is the cross-substrate join layer: supply-chain edges, export-control designations, sovereign AI programs, and facility-level compute resolve against each other at the row level with per-claim provenance, a join no single external tracker holds. The substrate behind the join: data centers (~4,550 facilities across 110 countries; facility coverage centers on Epoch AI's frontier-DC catalog, the IM3 OpenStreetMap US data-center bulk corpus, NYISO load-interconnection queue, and sovereign-program-linked international sites), supply-chain edges (~21,037 bilateral relationships from a licensed supply-chain database + SEC Exhibit 21), semiconductor chokepoints, sovereign AI programs (36 national programs tracked separately with announced-vs-deployed reconciliation), BIS Entity List designations (3,422 cross-referenced onto the compute universe), and chip-to-facility mappings. Depth-over-breadth: every record carries primary-source attribution. Every record on Scrutica carries `data_source` and `source_url` provenance. Derived values carry `is_estimated: true`. Methodologies are auditable end-to-end via the [Interactive Methodology Explorer](https://scrutica.com/methodology) — click any number, see derivation, adjust assumptions in-browser. The platform exposes its full substrate through a [natural-language Query Builder](https://scrutica.com/query) and a [Model Context Protocol server](https://scrutica.com/api/mcp) for Claude Code / Cursor / VS Code agents. License: data is published under CC BY-SA 4.0 except where otherwise noted. Source datasets that originate in licensed corpora (held under subscription; not redistributed) are stored as extracted relational facts with provenance preserved; the raw paywalled datasets themselves are not redistributed. ## Infrastructure Facility coordinates, GPU deployments, FLOP capacity estimates. - [Global Map](https://scrutica.com/map): Interactive deck.gl + Mapbox map of every tracked compute facility worldwide with supply-chain arcs and heatmap overlays. - [Entities](https://scrutica.com/entities): Facilities, companies, and countries in one instrument — the facility table at the root, with the company and country registers and the Ownership Investigator as sibling views; each keeps its full filtering, sorting, export, and provenance toolkit. - [Supply Chain](https://scrutica.com/supply-chain): ~21,037 bilateral supplier-customer relationships from a licensed supply-chain database + SEC Exhibit 21. Named-entity dependencies with relationship value, supply share, and 3-month price correlation per edge. - [FLOP Engine](https://scrutica.com/capacity): Facility-level AI training capacity via three independent paths (hardware inventory, power envelope, capital cost). Every parameter adjustable and auditable in-browser, with a filterable cross-facility bound-tightness ranking and a copyable permalink for any estimate. ## Chokepoint Analysis Cascade propagation, scenario simulation, concentration scoring. - [Cascade Simulation](https://scrutica.com/cascade): Dependency propagation across thousands of supply-chain edges, weighted by supply share + 3-month price correlation + editorial criticality. Pre-built scenarios for TSMC, ASML, EDA, US-China. - [Chokepoint Anatomy](https://scrutica.com/supply-chain/chokepoints): Where AI compute supply narrows to single suppliers or jurisdictions. Measured market-share HHI per supply-chain layer, sourced-unavailable where no public measurement locus exists; node-level downstream dependency tracing. - [Compute Leverage](https://scrutica.com/compute-leverage): A veto-count instrument over the frontier-AI compute stack: which layers can halt a training run, and which answer to no one. Leverage, not market share. - [Scenario Analysis](https://scrutica.com/scenario-analysis): Geopolitical stress tests across named scenarios: Taiwan Strait blockade, IRGC missile range, Saudi grid (Abqaiq 2.0), Tokyo earthquake, submarine cable severing. - [Stress Index](https://scrutica.com/supply-chain/concentration#stress): Composite 0-100 score across four dimensions (demand pressure, supply concentration, capacity utilization, power availability), refreshed quarterly. - [Compute Supply Model](https://scrutica.com/supply-chain/supply-model): Forward 2-5 year compute-supply projection — which constraint (power, chip production, packaging) binds when. - [Concentration Monitor](https://scrutica.com/supply-chain/concentration): AI-compute concentration points in an editorial priority ordering: HHI from estimated shares, hand-assigned substitute availability, demand growth, trajectory per chokepoint. - [Diversion Pipeline Tracker](https://scrutica.com/diversion-pipeline-tracker): Diversion-thesis audit at the primary-source layer; rendering of the Culper 2026-05-13 NVDA thesis with licensed supply-chain edges and entity-resolved counterparties. - [Concentration — consolidation activity](https://scrutica.com/supply-chain/concentration#activity): Quarterly anomaly + consolidation detection across 7 chokepoint layers, surfaced as a panel inside Concentration when the feed carries signal. ## Governance Export controls, sovereign programs, allied-coordination gaps. - [Export Controls](https://scrutica.com/export-controls): BIS Entity List designations cross-referenced onto compute infrastructure; chip-level access constraints; multi-regime view across US (EAR 3A090/4A090), Netherlands/EU semiconductor equipment, Japanese end-use. - [Entity List Change Log](https://scrutica.com/export-controls/changes): Federal Register actions on the Entity List, one event per notice, derived from the designation substrate; per-entity records, removal flags, and an RSS 2.0 feed at /export-controls/changes/feed.xml. - [Sovereign AI](https://scrutica.com/sovereign-ai): 36 national programs with announced-vs-deployed reconciliation, government-only vs headline figures, reality ratios, interdependence scores. Per-program RSS evidence feed at /sovereign-ai/program//feed.xml. - [Sovereign AI · Funding](https://scrutica.com/sovereign-ai/funding): The capital behind the programs — US CHIPS awards, sovereign-wealth-fund deployable capital, corporate infrastructure pledges, EuroHPC AI-Factory grid pre-emption — each a distinct ledger, none a government disbursement. A view of the Sovereign AI instrument. - [Sovereign AI · Inflation](https://scrutica.com/sovereign-ai/inflation): Six-pattern decomposition of the gap between announced and deployed sovereign-AI compute, attributed per program with per-pattern provenance. A view of the Sovereign AI instrument. - [Sovereign AI · Brief](https://scrutica.com/sovereign-ai/brief): One-screen plain-English policy brief — how far announced sovereign-AI money outruns deployed compute, the government-only figures, and why an em-dash is a data gap. A view of the Sovereign AI instrument. - [Threshold Atlas](https://scrutica.com/capacity/thresholds): Which facilities can train across the EU AI Act 10²⁵ trigger, China CAC ~10²⁴, and historical US EO 14110 10²⁶ lines — reverse calculator + SemiAnalysis 100K H100 calibration. - [Countries](https://scrutica.com/entities/countries): Measured comparative table across the tracked country universe — facilities, aggregate capacity, ownership transparency, export-control access, BIS designations, and sovereign programs, sortable per column. The country view of the Entities instrument; the editorial compute-stack matrix is a labeled view at /entities/countries/matrix. - [Compute Visibility](https://scrutica.com/compute-leverage/visibility): Two lenses — ownership transparency (tier 1-4) + hosted-vs-controlled attribution by country. A view of the Compute Leverage instrument. - [Coordination Gaps](https://scrutica.com/compute-leverage/coordination): Facilities under coordination arbitrage — sitting in an allied export-control regime but reaching a non-coordinated jurisdiction through their ownership chain. A view of the Compute Leverage instrument. - [Impact Pre-Scorer](https://scrutica.com/impact-prescorer): Simulate the structural reach of a hypothetical BIS Entity List addition; cascaded designation effect by country. ## Economics $/PFLOP-day, training-cost curves, trade-impact modelling. - [Cost Index](https://scrutica.com/economics/cost-index): $/petaFLOP-day across AWS, Azure, GCP, CoreWeave, Lambda — hourly published rates normalized via Epoch hardware specs; the index accumulates a daily $/petaFLOP-day series from its inception date. - [Trade Impact](https://scrutica.com/trade-impact): Did US export controls reduce China's compute access or redirect chip flows through Singapore / UAE / Malaysia? 15 years bilateral trade data pre/post each BIS rule. - [Training Economics](https://scrutica.com/economics/training-cost): Frontier training cost rises 10,000x; replication cost falls 2-18x. Divergent curves shape which capability-access controls bind where. - [Semiconductor Cycle](https://scrutica.com/supply-chain/cycle): 40 years of WSTS billings + Epoch GPU shipments + BIS event markers as a single timeline (1986-2026). ## Capabilities Scaling laws, training evidence, autonomy benchmarks. - [Capabilities](https://scrutica.com/capabilities): Benchmark scores mapped to training compute across 36 evaluations (the scaling explorer). Per-benchmark log-linear fits with R²; hardware provenance + export-control status on every point. Click a model to follow it into the compute that could train it and the floor its score represents. - [Training Evidence](https://scrutica.com/capabilities/training-evidence): Cross-reference vendor training claims against facility power, chip availability, financial data, export-control status. Evidence aggregation, not verification. - [Autonomy Monitor](https://scrutica.com/capabilities/autonomy): METR time-horizon scores against training compute + regulatory FLOP thresholds — which facilities can train autonomous-capability-class models? - [Elicitation Gap](https://scrutica.com/capabilities/elicitation-gap): Six labs and evaluators have said, in print, that their public capability scores are floors, not ceilings — and the gap factor to the true ceiling is unmeasured by construction. - [Compute in Context](https://scrutica.com/capabilities/context): The Compute Telescope — scale from a single API call to the global compute buildout across fourteen orders of magnitude. A citation-grade explainer for policy briefings. ## Reference Methodology, derivation chains, corrections, glossary. - [Methodology](https://scrutica.com/methodology): Complete derivation chains for every estimation path. Formulas in full; parameters adjustable in-browser; authority-tier definitions; cross-validation methodology; version history. - [Data & Citation](https://scrutica.com/datasets): Citation-ready dataset bundles — each packaged as CSV + JSON Schema + Croissant JSON-LD with SHA-256 checksums and BibTeX; Zenodo (DOI) and Hugging Face mirrors once depositions land. - [Related Work](https://scrutica.com/related-work): Prior art and adjacent research on AI compute infrastructure — Epoch AI, CSET, RAND, Stanford HAI, EPRI, GovAI — with an explicit account of what Scrutica covers and deliberately does not. - [Corrections](https://scrutica.com/corrections): Public log of data corrections + methodology fixes. Each entry: what was shown, the correct value, why it broke, what prevents recurrence. - [Glossary](https://scrutica.com/methodology/glossary): Technical definitions and governance relevance for 75+ terms spanning semiconductors, AI training hardware, export controls, compute policy. The Glossary view of the Methodology instrument. - [What Changed](https://scrutica.com/changelog): Recent updates across tracked facilities and organizations. Hourly feed. - [About](https://scrutica.com/about): Platform scope, data limitations disclosure, CC-BY-SA 4.0 license, methodology anchoring. ## Tools Cross-category instruments. Available from every page via Cmd+K. - [Compare](https://scrutica.com/compare): Multi-entity comparison across facilities, organizations, countries, sovereign programs — radar overlays, resilience scoring, metric tables. - [Ownership Investigator](https://scrutica.com/entities/investigator): Walk any compute entity to ultimate beneficial owner with multi-source provenance per hop. The Investigator view of the Entities instrument. - [Query Builder](https://scrutica.com/query): Natural-language interface to Scrutica's full substrate. The router runs on Claude Sonnet 5, with Claude Opus 4.8 then GPT-5.5 as failover, routing free-text queries through a documented tool surface; every numerical claim wraps in a citation tag with authority-tier provenance. ## Agent-native interfaces - [MCP Server](https://scrutica.com/api/mcp): Model Context Protocol server exposing 10 tools (entity search, facility and company records, supply-chain edges, export-control lookup, Entity List change log, sovereign-program data, risk scenarios, FLOP estimation, methodology reference), plus reference resources and canned analysis prompts. Configure via claude.ai, Claude Code, Claude Desktop, Cursor, VS Code, or any MCP-compatible client; a GET on the endpoint returns connection instructions. - [MCP Agent Guide](https://scrutica.com/api/mcp/llms.txt): LLM-optimized API reference for the MCP server — tool semantics, parameter syntax, worked examples, anti-patterns. - [Agents & API](https://scrutica.com/agents): Human- and agent-readable operator manual for every programmatic surface — MCP connection per client, the .md-suffix markdown convention, feeds, dataset downloads, rate limits, and the provenance contract (authority tiers, is_estimated, campus rules). ## Optional - [Watchlist + RSS](https://scrutica.com/watchlist): Personal pin list with an RSS subscription URL for your watchlist, for newsroom and research-tool feed readers.