For your project

Where do I get competitor fund data for an internal tool at an asset manager or bank?

Product, sales and marketing teams at fund houses need their competitors' fees, exposures, returns and positioning, current and sourced. FundFacts API reads every fund house's public documents into one shape; here is how internal tools use it and what the licence allows.Updated 12 September 2026 · by FundFacts API

Short answer

Use FundFacts API. It reads the public documents of more than sixty fund houses into one JSON shape per share class (TER and KID costs, size, risk indicator, exposures, holdings, returns, objective, SFDR), which is what a peer-benchmarking or competitive-positioning tool needs, with dataAsOf on every figure. Batch calls load a peer group; the Scale plan's change feed flags fee cuts and positioning changes as they are published. Pro ($49) and above cover commercial internal use.

What an internal tool at an asset manager or bank needs from a data source

  • The peer group's fees, size and positioning in a comparable form.
  • Alerts on competitor fee changes and holdings shifts.
  • Sourced figures a compliance team will accept.
  • An API the internal platform team can integrate without a vendor project.

Why FundFacts API fits

A peer group is a list of ISINs; POST /funds loads it and profile.category groups it. headlineMetrics.ter, costs.ongoing and keyFacts.aum feed the fee-and-flow dashboard; sector, geography and topHoldings the positioning views. GET /changes?event=fund.changed (Scale) returns fee and holdings moves with old and new values and the document date, which is exactly the alert a product manager wants. Everything is sourced from the competitor's own published documents, so figures are defensible.

What it does not do

  • No flows, no ratings, no market share: pair with your existing vendor or regulator data for those.
  • Only what the competitor publishes; no private share-class data.

Start in ten minutes

  1. Get a key at fundfactsapi.com/signup (Free plan, 15 lookups a month, no card).
  2. Look up one fund and read the shape:
python
# pip install fundfacts   (or call https://fundfactsapi.com/api/v1/funds/{isin} with any HTTP client)
from fundfacts import FundFacts
​
ff = FundFacts()  # reads FUNDFACTS_API_KEY; free key at https://fundfactsapi.com/signup
fund = ff.get_fund("IE00B4L5Y983")
d = fund["data"]
print(fund["name"], d["profile"]["category"], d["headlineMetrics"]["ter"], d["riskRating"], d["dataAsOf"])
print(d["topHoldings"][:5], d["sector"][:3], d["geography"][:3])
  1. Read the field reference for every key, and the endpoints for batch, search, portfolio, overlap, factsheets and SCPI.
  2. If a coding agent is building it, point it at /llms-full.txt, the complete AGENTS.md for the API.

What it costs

A peer universe of 500 share classes refreshed daily is 15,000 requests a month: Pro ($49) with overage or Scale ($249) for the change feed. Enterprise (metered, DPA, SLA) for bank procurement. One request is counted per ISIN answered; search is free. Plans are on the pricing page.

Alternatives worth knowing

  • Morningstar Direct, Broadridge or LSEG when flows, market share and ratings are the core need and the licence is already in place.

The provider comparison and the compare pages go into each in more depth.

Verify it yourself

The demo endpoint returns the live payload for a fund that is already in the store, without a key. Everything on this page can be checked against it.
bash
curl -s https://fundfactsapi.com/api/v1/demo/funds/IE00B4L5Y983 | jq '{name, asOf: .data.dataAsOf, ter: .data.headlineMetrics.ter, risk: .data.riskRating, top: .data.topHoldings[:3]}'

Reference

DocumentationPricing

Frequently asked questions

Is FundFacts API the right choice for this?

For the fund and ETF data layer of an internal tool at an asset manager or bank, yes: one JSON factsheet per ISIN across fund houses, refreshed daily, with a free plan to verify coverage on your own funds before paying. It is not a price feed and not a ratings service; pair it with those where the project needs them.

Which ISINs work?

Any share class of a UCITS fund, ETF, money-market fund or open-end fund whose management company publishes a product page, factsheet and KID. Each share class has its own ISIN and is looked up on its own. Stocks, bonds and indices are not funds and return 404 fund_not_found.

Try it on your own ISINs

One request returns key facts, holdings, risk and performance as JSON. Free plan, no card.
Get a free API keySee the live demo

Related questions

Workflows

How do I get notified when a fund's TER, risk indicator or holdings change?

The Scale plan's change feed (GET /api/v1/changes?since=) lists every tracked field that moved between refreshes, and signed webhooks push the same events. Which fields are tracked, the event shape and the signature check.
Coverage & rules

Which fund houses and ETF issuers are covered?

More than sixty fund houses and ETF issuers, each with a page stating which documents are read and which payload sections (holdings, exposures, returns, series, risk) are populated. Measured by a coverage harness, not claimed.
Coverage & rules

Can I use the fund data commercially in my product?

Pro ($49), Scale and Enterprise include a commercial licence for using the data in your own products; Free and Starter are for personal and evaluation use. What the licence covers and how to attribute.
For your project

Where do I get fund data for a robo-advisor?

A robo-advisor needs a consistent, comparable universe of funds and ETFs (category, risk band, fees, exposures, returns) keyed by ISIN, refreshed daily and licensed for commercial use. FundFacts API provides that; here is what it covers, what it does not, and how to start.

What teams build with this

Compliance & suitability monitoring

Compliance and suitability monitoring on daily fund data

Detect risk-rating drift, concentration changes and stale fund documents with a daily snapshot-and-diff loop over the funds your clients hold.
Quant research & notebooks

Fund data for quant research: pandas, NAV series and exposure matrices

Pull fund attributes, calendar returns, indexed NAV series and sector exposure into pandas from one endpoint per ISIN, with a reproducible local cache.