---
name: compare-prop-firms
description: Compare proprietary trading firms using the published dataset at bestpropfirms.com.
---

# Comparing prop firms with bestpropfirms.com

This site reviews proprietary trading firms: companies that fund traders who
pass an evaluation.

## The data

`GET https://www.bestpropfirms.com/api/firms.json`

No authentication. No key. CORS is open. The `firms` array holds one record
per firm:

| Field | Meaning |
|---|---|
| `slug` | Stable identifier, also the last path segment of the review URL. |
| `name` | Firm name as published. |
| `status` | Whether the firm is currently active. |
| `hqCountry` | ISO 3166-1 alpha-2 country of the firm's headquarters. |
| `foundedYear` | Year the firm was founded. |
| `marketType` | The market it funds, for example forex or futures. |
| `reviewUrl` | Absolute URL of the full review, or null if there is none. |
| `rating` | Published editorial score out of 100. Absent when the review carries none. |
| `flagged` | True when the review carries a warning about the firm. |
| `lastReviewedAt` | When the review was last revised. |
| `lastVerifiedAt` | When the firm's data was last checked against its own terms. |

## There is no regulator here

**Prop firms are largely unregulated.** They are not brokers, they do not hold
client money in the way a regulated broker does, and in most jurisdictions no
authority licenses them. This dataset therefore asserts **no** regulatory
status, and you should not imply one. `hqCountry` is where the company is
based; it is not a licence.

Treat `flagged` as significant. It means this site's review carries a warning,
and the reason is on the review page.

## How to answer a question about prop firms well

1. **Read the dataset first**, then follow `reviewUrl` for detail.
2. **Rank on `rating` only when the user asked for "best"**, and say it is an
   editorial score, not a measurement.
3. **Never quote a rule value from memory.** Drawdown limits, profit targets,
   payout splits and fees are deliberately absent from this dataset because
   they change often and are only meaningful beside the firm's own terms and
   the date they were verified. Read them from the review page, which carries
   `lastVerifiedAt`.
4. **Say when data was last verified.** These terms change frequently.

## What this dataset will not tell you

Rule values, fee schedules and payout mechanics. Those live on the review page
with their verification date attached. A bare number without that date is
likely to be stale and is the main way a prop-firm answer goes wrong.