On-Chain Finance Tracker
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Institutional on-chain finance · 2020 to now

Who is doing what, in what role, and what proves it.

A database of what banks, asset managers, market infrastructures and public institutions have actually done on-chain — tracked as enduring initiatives with dated developments, where every classified value links to the public source behind it.

Initiatives
201
Dated developments
263
Institutions
232
Sources
272

What it covers

Four sections, one taxonomy — on every page

Digital Money

  • Tokenized Deposit & Deposit Token21
  • Stablecoin39
  • CBDC25

Digital Assets

  • Equities9
  • Bond (ex. Treasury)13
  • Treasury26
  • Commodity3
  • Funds (incl. MMF)43
  • Real Assets & Infra1
  • Structured Products1
  • Other (e.g., Art, Trade)6

Crypto

  • Custody13
  • ETF / ETP9
  • Lending3
  • Other (e.g., DeFi)2

Other

  • Infrastructure & other13

Counts overlap where the taxonomy does: a tokenised treasury product appears under both Treasury and Funds, because funds buy into the same assets the direct products tokenise.

How it works

From a claim to a record

  1. 1

    Discover

    A systemd timer sweeps 52 institutional news feeds every night. Aggregator lists and feed hits create leads — never records. A lead is a claim that something happened, not evidence that it did.

  2. 2

    Read the source

    A record is published only against the institution's own page — newsroom, filing, or regulator notice — and only after the page's printed date has actually been read. If a publisher blocks automated access and no mirror reads, the record waits. A date we cannot read is a date we do not record.

  3. 3

    Grade the evidence

    Every source carries a grade: A regulator, B official announcement, C near-primary, D media. Aggregators are not acceptable at any grade. Each classified value — product type, market, network, maturity — links to the source that proves it as an evidence claim.

  4. 4

    Verify mechanically

    28 automated invariants run on every change: counts must agree across pages, no source may predate the event it evidences, dates render only to their known precision, renamed records keep their old URLs. One check is allowed to fail visibly — the honest display of what still lacks a source.

  5. 5

    Publish with the trail

    A published record shows its developments, each dated and cited. The tracker never reports market size — no AUM, notionals, or volumes. What institutions did, in what role, and what proves it.

Data sources

Every source is graded

A · Regulator

A regulator or central bank speaking about its own action.

B · Official

The institution's own announcement: newsroom, filing, product page.

C · Near-primary

Near-primary — a named partner or the network's own publication.

D · Media

Trade or tier-one media. Never the sole basis for a record.

177 of 272 sources cited by published records (65%) are grade A or B — the institution or its regulator, in their own words.

Human vs AI

Verification is labelled, not implied

1,198

AI-verified claims

The model read the source page — including its printed date — and recorded the claim against it. AI review runs on every change.

0

Human-verified claims

A person confirmed the claim against the source. The maker–checker layer is young: this number is honest, and it will grow.

152 / 201

Records human-reviewed

Records a person has signed off end-to-end. Everything else is AI-built, source-linked, and labelled as exactly that.

The records live behind the login

This page is the method. The data — 201 initiatives, 263 dated developments, every source link — is inside.

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