Data and research teams

ETF data you can build on

Validated fund, holdings, and flow data through documented APIs and files — for research, models, and products.

The problem

Teams that build on ETF data spend most of their time cleaning it: reconciling identifiers across listings, chasing missing NAVs, and guessing at correction history. The analysis is the easy part; the pipeline is the cost.

What we bring to it

Fund reference & lifecycle data

Effective-dated identifiers, listings, share classes, and corporate actions — the plumbing done properly.

Time series & holdings

NAV, AUM, performance, and classified holdings with validation and correction handling.

APIs & file delivery

Documented REST APIs and scheduled files, scoped to your license.

How an engagement runs

  1. Scope your universe

    We agree the funds, fields, history, and delivery method your use case needs — and what your license covers.

  2. Integrate once

    Typed contracts and stable identifiers mean your integration survives fund events and provider changes.

  3. Build on it

    Corrections, coverage, and as-of dates are explicit, so your models consume data you can defend.

What changes for your team

  • Stable internal identifiers across tickers, ISINs, and listings
  • Corrections are versioned, not silently overwritten
  • Documented contracts instead of scraped or inferred data
  • Licensing that states plainly what you may redistribute

See it on your funds

A demo walks through your own product range on the platform — not a canned dataset.

Talk to our data team

See your funds running on ETF Engine

A demo walks through your product lineup on our platform — your data, your branding, your markets.