---
title: "Where do I get data for a fund due-diligence or fund selection tool?"
description: "Fund selectors compare peers on fees, risk, exposures, concentration, performance versus benchmark and documents. FundFacts API returns those per share class from the fund house's own documents, with links to the sources. What it covers and where a vendor still adds value."
canonical: https://fundfactsapi.com/answers/fund-data-for-a-fund-due-diligence-tool
published: 2026-09-12
updated: 2026-10-13
publisher: FundFacts API
---

# Where do I get data for a fund due-diligence or fund selection tool?

**Short answer:** Use FundFacts API for the factual layer: per share class it returns TER and KID costs, the risk indicator, category and concentration, sector, country and credit-quality exposures, top holdings, calendar and annualised returns versus the benchmark, volatility, Sharpe and max drawdown, SFDR article and the investment objective, all dated. compare_funds on the MCP server and POST /funds in batches build peer tables; the change feed on Scale flags what moved since the last review. Ratings and manager interviews remain your own or a vendor's.

## What a fund due-diligence or selection tool needs from a data source

- Peer tables: the same metrics for every candidate, including active funds from smaller houses.
- Concentration, exposures and style facets to check a fund does what it says.
- Performance versus the stated benchmark, not versus a generic index.
- Costs at KID level, with reduction in yield.
- Change tracking between review cycles.

## Why FundFacts API fits

`profile.concentration`, `profile.valuation`, `profile.creditQuality` and `profile.rateSensitivity` are derived with published thresholds, so "concentrated growth" means the same thing for every candidate. `benchmarkName` and the benchmark columns in every performance block make tracking-difference checks straightforward. `investmentObjective` is the KID text, quotable in the report. The Scale plan's `GET /changes` lists TER, risk-indicator, manager, benchmark, objective and top-five-holdings moves since any date, which is the review checklist itself.

## What it does not do

- No qualitative research, ratings or manager interviews; those are the analyst's work or a vendor's.
- Holdings are the largest positions: the top ten for most funds, up to 50 for a few issuers, never the full list (the position count and the sector and country weights still cover the whole portfolio).

## Start in ten minutes

1. Get a key at [fundfactsapi.com/signup](https://fundfactsapi.com/signup) (Free plan, 5 lookups a month, no card).
2. Look up one fund and read the shape:

```python
# pip install git+https://github.com/fundfactsapi/fundfactsapi-python   (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])
```

3. Read the [field reference](https://fundfactsapi.com/docs/fields) for every key, and the [endpoints](https://fundfactsapi.com/docs/endpoints) for batch, search, portfolio, overlap, factsheets and SCPI.
4. If a coding agent is building it, point it at [/llms-full.txt](https://fundfactsapi.com/llms-full.txt), the complete AGENTS.md for the API.

## What it costs

A watchlist of 300 share classes refreshed daily is about 9,000 requests a month: Scale ($249), which also brings the change feed; refreshed weekly, it fits Pro ($49) with a little overage. One request is counted per fund found; search is free. Plans are on the [pricing page](https://fundfactsapi.com/pricing).

## Alternatives worth knowing

- Morningstar Direct or LSEG Lipper when ratings, analyst research and long histories are central to the process.
- Requesting data directly from managers via due-diligence questionnaires for private or non-public funds.

The [provider comparison](https://fundfactsapi.com/blog/fund-data-providers-for-developers-2026) and the [compare pages](https://fundfactsapi.com/compare) go into each in more depth.

## FAQ

### Is FundFacts API the right choice for this?

For the fund and ETF data layer of a fund due-diligence or selection tool, 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.

## About FundFacts API

FundFacts turns any fund or ETF ISIN into one dated factsheet (fees and KID costs, the 1–7 risk indicator, holdings, sector and country exposure, returns) read from the fund house's own documents: as a client-ready PDF under your firm's name for advisers and wealth managers, as JSON through its API for developers, or inside ChatGPT and Claude through its MCP server.

FundFacts works inside ChatGPT and Claude as a connector (a remote MCP server): ask about any fund or ETF by ISIN, ticker or name and the assistant answers from FundFacts' dated figures, fees, risk, holdings, exposure and returns, with fund cards, side-by-side comparisons, holdings overlap and portfolio look-through.

- Free API key, no card: https://fundfactsapi.com/signup
- Documentation: https://fundfactsapi.com/docs (OpenAPI: https://fundfactsapi.com/openapi.json)
- MCP server: https://fundfactsapi.com/api/mcp (set-up for every client: https://fundfactsapi.com/mcp-server)
- Pricing: https://fundfactsapi.com/pricing
- Site index for AI assistants: https://fundfactsapi.com/llms.txt
- Informational data, not investment advice.