Shared with Trase. Snapshot generated 15 June 2026. An interactive viewer is in preparation; this document and the accompanying data export are the current reference.
The Virtual Standards Catalog reads every sustainability-disclosure obligation that matters from primary sources, normalises them into a single comparable structure, and reduces them to the underlying set of measurements a company actually has to collect.
For any data point it answers three questions:
| Metric | Value |
|---|---|
| Disclosure points (normalised) | 863 |
| Frameworks covered | 56 |
| Jurisdictions | 6 plus the global voluntary layer |
| ESG topics | 17 |
| Data primitives (the things you measure) | 88 |
| Primary-source cited (verbatim-verified) | 795 / 863 (92%) |
| Cross-framework links | 30 merges + 67 cross-references |
Of the 863 points: 480 mandatory, 105 conditional, 11 comply-or-explain, 363 voluntary. 289 are quantitative metrics and 47 are site-level or geospatial.
Largest topics by disclosure count: business conduct and governance (263), climate and GHG (189), biodiversity and ecosystems (106), value-chain workers (80), water (42), pollution (38).
Obligations concentrate in the EU, with a widening ring of national regimes and a global voluntary layer that applies in every market.
| Jurisdiction | Frameworks | Examples |
|---|---|---|
| European Union | 26 | CSRD/ESRS (12 standards, in-force plus the 2026 post-Omnibus draft), EUDR, CSDDD, SFDR, EU Forced Labour Regulation |
| United States | 3 | SEC Climate Rule, California SB 253, California SB 261 |
| United Kingdom | 2 | Modern Slavery Act 2015, UK SDR |
| Australia / Japan / Singapore | 1 each | ASRS, SSBJ, SGX |
| Global (apply everywhere) | 22 | ISSB / IFRS S1–S2, TNFD, TCFD, GRI (11 standards), SASB, CDP, GHG Protocol, SBTi, OECD MNE Guidelines, UNGPs |
Every disclosure row is tagged with the commodities it applies to, so a producer or trader reports against the union of its commodity-specific standards plus the commodity-agnostic corporate frameworks.
The taxonomy is built around the EUDR-7 (cattle, cocoa, coffee, oil palm, rubber, soy, wood) with an extension set (sugarcane, cotton, seafood and others). Alongside the corporate frameworks, the catalog covers the commodity scheme standards directly, including RSPO, RTRS, Bonsucro, Better Cotton, FSC and PEFC, Fairtrade Cocoa, 4C, ProTerra, ASC and MSC, and LWG.
This makes the catalog directly usable for commodity supply-chain work: for a given commodity you can read the binding disclosure bar across regulation and certification in one place.
The 863 disclosures collapse onto a small set of measurements. A handful of primitives carry a large share of the corpus.
| Data primitive | Disclosures fed | Frameworks |
|---|---|---|
| Scope 2 GHG emissions | 30 | 14 |
| Scope 3 GHG emissions | 30 | 13 |
| Scope 1 GHG emissions | 29 | 15 |
| Site water-stress classification (geospatial) | 11 | 6 |
| Energy consumption | 10 | 6 |
| Water consumption | 10 | 6 |
| Site protected-area proximity (geospatial) | 8 | 5 |
| Site / plot geolocation (geospatial) | 7 | 5 |
The most universal single disclosures recur across many frameworks, so they are collected once and reported everywhere: gross Scope 3 GHG emissions (10 frameworks), management of material topics (8), climate / GHG reduction targets (8), a Paris-aligned 1.5°C transition plan (7), gross Scope 2 GHG emissions (7), and total Scopes 1+2+3 (7).
The geospatial primitives are computed from site location. A single land-cover and deforestation computation, for example, feeds disclosures across EUDR, TNFD, ESRS E4 and CDP at once.
Epoch-Compliance-Catalog-Overview.md — this
overview.catalog_export.json — the full machine-readable graph
(72 frameworks, 17 topics, 88 primitives). For each data point: the
most-stringent clause and source URL; for each primitive: every
disclosure it feeds across frameworks. Intended for downstream
tooling.commodities.yaml — the commodity taxonomy used to scope
disclosures.An interactive, login-gated viewer covering most-stringent, gap-to-close, cross-standard mapping and the collect-once primitive graph for any data point is in preparation and will follow.