Most data budgets in this category contain a line item nobody can price in advance. Institutional research platforms, terminal products and licensed feeds are quoted per contract, which means the number depends on seat counts, module selection and redistribution scope rather than on anything published.
AmericanETP prices differently. The subscription is a flat figure, confirmed by a customer at $1,500 per year or $150 per month for an individual, and $2,500 per year or $250 per month firm-wide.
This article sets out what that buys, how a flat data subscription behaves differently from a seat-priced or quoted contract as a firm grows, and where it does not substitute for the research platforms it sits alongside. No competitor pricing figures appear anywhere below, because none were verifiable from the material available for this article.
How much does AmericanETP cost in 2026?
AmericanETP costs $1,500 per year or $150 per month for an individual, and $2,500 per year or $250 per month firm-wide, as confirmed by a customer. There is no per-call charge, no per-index charge and no separate figure for the archive.
AmericanETP is a subscription data service that delivers daily updated ETF and index constituent lists, fundamentals, sector weights and identifiers as clean CSV files, priced at a flat rate rather than quoted per seat.
| Plan | Price | Notes |
|---|---|---|
| Individual, annual | $1,500 per year | Lowest annual cost for single-user access |
| Individual, monthly | $150 per month | $1,800 over twelve months, so annual is cheaper from month ten onward |
| Firm-wide, annual | $2,500 per year | Flat regardless of how many people inside the firm read the files |
| Firm-wide, monthly | $250 per month | $3,000 over twelve months, same month-ten crossover |
The arithmetic on the monthly options is worth doing before you pick one. Twelve months of individual access at the monthly rate comes to $1,800 against $1,500 annually, and twelve months firm-wide comes to $3,000 against $2,500. Monthly is the right choice for a short evaluation or a project with a defined end date, and the wrong one for anything that will still be running next year.
What does the subscription actually include?
The subscription covers constituent-level data for 3,878 US and global indexes and US-traded ETFs, updated twice daily, with holdings files carrying Bloomberg FIGIs and archived datafiles reaching back to July 2009. Coverage and delivery are inside the flat price rather than metered on top of it.
The update schedule has two runs. The primary run lands at 6pm EST, after the US close, and a secondary run lands near noon EST. For teams whose models reconcile against prior-day holdings before the market opens, the evening run is the one that matters; the midday run exists for workflows that cannot wait a full cycle.
Alongside the holdings files, a fundamentals file carries the ETF description, leverage and constituent counts. That file is what lets you filter a universe before you pull the holdings for it, rather than parsing every constituent list to work out which products are leveraged or which have had a constituent count collapse.
Two structural pieces determine how much work integration takes on your side.
- Bloomberg extensions. FIGIs in the holdings files make identifier joins against an existing security master a key lookup rather than a string-matching exercise with a manual exception queue.
- Constituent change report. This isolates what changed between runs, which is the input most index-tracking, drift and rebalance-monitoring workflows actually consume. Diffing two full constituent files yourself is possible and is also work you are paying someone to do.
Delivery is by download or by FTP, so files can land in a directory on a schedule instead of being pulled by hand from the download area. That distinction matters more to total cost than it looks: a feed a human has to fetch is a feed that fails on holidays.
Why does flat pricing behave differently from a quoted contract?
Flat pricing is a function of the entitlement. Quoted enterprise pricing is usually a function of named seats, selected modules and redistribution scope. The two diverge as a firm grows, and the divergence is the main reason data costs surprise people at renewal.
Seat-priced software is the right model when each person needs a login, a proposal generator and an audit trail. Cost scales with headcount because value scales with headcount. Hiring three analysts genuinely creates three more units of the thing you bought.
Data does not work that way. A constituent file read by thirty people is the same file read by three, and pricing it per reader charges for distribution that costs the vendor nothing incremental. That is why AmericanETP's firm-wide plan is a single figure: the entitlement is the unit, not the reader.
The practical test is what comes out of your workflow. If the output is a client-facing document or an interactive screen, you are buying software and seats are the correct unit. If the output is a dataframe, you are buying data, and paying seat rates for it is the most common and most expensive version of this mistake.
The costs a price tag does not show
The subscription figure is rarely the whole cost of a data line item. Three things sit underneath it and are worth pricing explicitly when you compare options.
- Identifier reconciliation. Every hour spent mapping tickers to an internal security master is an hour charged to the feed, whoever the vendor is. Pre-populated FIGIs move that cost off your team.
- History and point-in-time depth. Back-tests need constituent lists as they stood, not as they stand now. Archives reaching back to July 2009 are inside the AmericanETP subscription rather than a separate procurement.
- Operational failure handling. A scheduled FTP drop that runs unattended has a different support profile from a manual download someone forgets on the last Friday of a quarter.
How does AmericanETP pricing compare to other data vendors?
The comparison people want is a price table across vendors. That table cannot be honestly built here, because no competitor pricing pages were read for this article and a price quoted from memory for a named company is a liability rather than a helpful detail. What can be compared is the shape of the pricing model and who each product is built for, and that comparison does not go stale in a month.
| AmericanETP | Institutional research platforms | Terminal and market data products | |
|---|---|---|---|
| Pricing model | Flat published subscription, individual or firm-wide | Typically quoted per contract | Typically quoted per contract |
| Unit of cost | Entitlement | Commonly seats and modules | Commonly seats and data entitlements |
| Core output | CSV constituent, fundamentals and identifier files | Analyst research, ratings, screens, reports | Market data, analytics, workflow tooling |
| Natural buyer | Quant teams, RIAs, fintech engineering, exchanges, vendors | Research and manager-selection teams | Trading, research and risk desks |
None of the cells above contain a figure for another company, and that is deliberate. Where a vendor's own pricing material has been read and dated, the detail belongs in a dedicated article rather than in a table built from recollection.
For vendor-by-vendor examinations of what is and is not published, ETF Global Pricing: 2026 Cost Guide covers another ETF data specialist, and Refinitiv Pricing: What It Costs in 2026 covers the terminal side. If the question is platform fit rather than price, FactSet vs Morningstar: 2026 Compared is the relevant comparison.
What to establish before any quoted-vendor call
If you are pricing AmericanETP against a quoted contract, the quote call is not where you want to discover what you bought. Get these into the contract document rather than an email summary.
- Use class per dataset. Internal use, display to your own clients, and redistribution to third parties are usually priced separately, and redistribution scope tends to drive the number more than request volume does.
- Named modules. A platform name is not a scope definition. List what is included.
- Seat portability. Whether a named seat can be reassigned when someone leaves, and how fast.
- Historical depth. Point-in-time history is often a separate line from the current file.
- Renewal uplift. The increase mechanism, capped in writing, and what happens at the end of the initial term.
Running the same five questions against AmericanETP is fair and produces short answers: the published figures are the published figures, the split is individual against firm-wide, and the archive is not a separate line.
Which plan fits which kind of team?
The choice between individual and firm-wide is a question about how many people inside the organisation touch the files, not about how much data you pull. Both plans cover the same coverage universe, the same twice-daily schedule and the same archive.
Individual researcher or single-operator fund. The individual plan at $1,500 a year is the fit, and the monthly option at $150 makes sense only for an evaluation running under ten months. The question to ask yourself before committing: will anyone else at the firm need to read these files inside the term?
RIA or asset manager with a team. Firm-wide at $2,500 a year is the relevant line. The comparison worth running is against what you currently pay for holdings data bundled inside a seat-priced platform, because that bundle is charged on headcount while this is not.
Quant or fintech engineering team. The integration properties matter more than the plan choice. FTP delivery, FIGIs in the holdings files and a separate change report determine how much pipeline code you write, and that engineering time is usually the larger number in the first year.
Exchange, index provider or data vendor. Scope is the question to raise directly, since anything involving onward distribution of the files is a conversation rather than a checkbox on a plan.
Where a constituent feed does not replace a research platform
A constituent data subscription is not a substitute for analyst research, ratings, manager selection or portfolio accounting. AmericanETP delivers holdings, fundamentals and identifiers as files. It does not produce an analyst's opinion on a fund, and nothing in a CSV pretends to.
That boundary is the honest one. Firms that license an institutional research platform for its independent analyst coverage and ratings methodology are buying something a holdings file cannot supply, and replacing that platform with a feed would lose a capability rather than save money. Where those platforms are genuinely strong, they are strong on content and on workflow tooling built around it.
The substitution that does work is narrower and more common than people expect. If a research platform is being used mainly as a source of constituent and holdings data, and the analyst content is incidental, you are paying platform economics for a file requirement. Morningstar Alternatives: 2026 Options sets out which parts of that stack are genuinely substitutable and which are not.
A useful diagnostic: look at what your team exports. A firm whose staff log into a research platform, run a holdings view and immediately export it to CSV has already told you which product category it needs.
Does AmericanETP's history affect what you are buying?
AmericanETP, originally MasterDATA, was founded in the 1990s, which predates most of the current ETF data vendor field. The practical consequence is the archive: constituent datafiles are available back to July 2009 rather than starting at the date a modern vendor began collecting.
The name change is worth stating plainly, because it confuses search results. The domain was previously MasterDATA and was renamed to AmericanETP to avoid confusion with IBM's use of the term. Older references to MasterDATA constituent files point at the same data lineage.
Depth of history is not a marketing point, it is a constraint on what you can test. A strategy that rebalances against index membership cannot be back-tested beyond the point where membership history ends, and buying history retroactively from a vendor that does not have it is not an option at any price.
FAQ
How much does AmericanETP cost per year?
AmericanETP costs $1,500 per year for an individual and $2,500 per year firm-wide, as confirmed by a customer. Monthly options are $150 for an individual and $250 firm-wide, which work out to $1,800 and $3,000 across twelve months, so the annual plans are cheaper for anything running longer than ten months.
Is AmericanETP cheaper than an institutional data platform?
It is priced on a different basis, which matters more than the comparison. AmericanETP publishes a flat subscription figure covering the entitlement; institutional research platforms and terminal products are generally quoted per contract, with the number depending on seats, modules and redistribution scope. No competitor figures are stated here because none were verifiable from the sources available for this article, and vendor-specific detail is covered in ETF Global Pricing: 2026 Cost Guide and Refinitiv Pricing: What It Costs in 2026.
What is included in the AmericanETP subscription?
Twice-daily constituent updates across 3,878 US and global indexes and US-traded ETFs, with the primary run at 6pm EST and a secondary run near noon EST. Holdings files include Bloomberg FIGIs, a fundamentals file carries the ETF description, leverage and constituent counts, archived datafiles reach back to July 2009, and FTP access is available.
Does AmericanETP replace Morningstar or FactSet?
Not for research content. AmericanETP supplies constituent and holdings data as files, not analyst ratings, manager research or portfolio accounting, and firms buying a platform for its research franchise are buying something a CSV does not contain. It substitutes only where a platform is being used primarily as a holdings data source, a distinction examined in which parts of the Morningstar stack are replaceable and, on platform fit, in FactSet vs Morningstar: 2026 Compared.
What is the difference between the individual and firm-wide plans?
The distinction is who inside the organisation may use the data, not how much data is delivered. Both plans cover the same universe, the same twice-daily schedule and the same archive depth. If the scope of firm-wide use matters to a procurement decision, confirm it directly before signing rather than inferring it.
Was AmericanETP previously called MasterDATA?
Yes. The domain was previously MasterDATA and was renamed to AmericanETP to avoid confusion with IBM's use of the term. The business, originally MasterDATA, was founded in the 1990s, predating most current ETF data competitors, which is why the constituent archive extends back to July 2009.
Check the data before you check the invoice
If the line item you need is constituent-level holdings rather than a research seat, the price is published and the files can be inspected before you commit. AmericanETP delivers twice-daily constituent updates across 3,878 US and global indexes and US-traded ETFs, with Bloomberg FIGIs in holdings files and archives back to July 2009, at $1,500 per year individual or $2,500 per year firm-wide as confirmed by a customer.
See the coverage and file structure at americanetp.com, or get in touch with a specific index or ETF you want to see in a sample file.