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Free, private, browser-side checker
Check the proof behind a prop firm claim.
Describe a prop firm claim you saw — a payout screenshot, a leaderboard, a “cheapest firm” line, a review score, a “daily payouts” promise, or a “90% pass rate” stat — pick the evidence shown, and see whether it includes the source, date range, sample size, method, and verification you need before you trust it.
What this is: it checks how complete the evidence behind a claim is — not whether the claim is true, and not an endorsement of any firm. Not financial or trading advice. A “Documentation shown: complete” label means the claim shows the required fields, not that it is correct.
What to check by claim type
Worked examples
Firm-agnostic examples of how the same claim reads when documentation fields are missing or present. No named firms, no firm verdicts.
Evidence shown: firm-made graphic, no link, no date range, no transaction sample.
Why: No gross-vs-net definition, no number of unique traders, no payout dates or methods, and no way to see whether failed or pending withdrawals were excluded.
Stronger proof: a dated payout log, anonymized transaction IDs, payment method, unique-trader count, and a gross/net definition.
Evidence shown: marketing headline on a landing page.
Why: “Daily” and “fastest” are undefined. It doesn’t say business vs calendar days, KYC steps, minimum payout, or show real withdrawal timestamps.
Stronger proof: the rules/payout page terms plus dated withdrawal timestamps and the payment method and threshold that applied.
Evidence shown: a number in an affiliate review, no source.
Why: No denominator, no dates, no rule set, and no statement on whether resets, repeat attempts, or inactive accounts are counted. A pass-rate figure means little without a named dataset behind it.
Stronger proof: a named dataset, timeframe, denominator, the exact rule set, and whether failed accounts are included.
Evidence shown: a real, dated headline price on the firm’s own pricing page.
Why: The headline price is verifiable, but “cheapest” is a total-cost claim. Resets, activation fees, data fees, and payout minimums can change the real number.
Stronger proof: total cost including reset price, activation fee, data fees, and any payout minimum, compared on the same account size and rule set.
Evidence shown: a linkable review-site score.
Why: The score is real and sourced, but a single average hides recency, review count, verified-buyer status, incentive disclosure, and how the distribution shifted after rule changes.
Stronger proof: recent review sample, count, verified-buyer share, and whether reviews were incentivized — read alongside the 1–2 star reviews.
Evidence shown: a cropped image, no link, no date, no account context.
Why: An anonymous, unverifiable screenshot can’t establish who was paid, when, how much net, or whether it’s even real. Treat it as a lead to check, not evidence.
Stronger proof: the original dated source, payment method, and an independently checkable record such as a transaction ID.
Common prop firm claim traps
Copy-and-ask checklists
Paste these into a Discord, Reddit, X, or support chat when someone shows you a claim.
How the evidence grades map
Labels describe the structure of a claim, not any identifiable firm. A detailed claim can still be wrong; a thin one can still be true.
Documentation shown: complete
Documentation shown: partial
Documentation shown: thin
Documentation shown: missing / hard stop
How BestProps evaluates claim quality
The checker uses editorial gates, not statistical proof. Named sources, dated collection windows, stated denominators, clear methods, and independent checks raise the documentation label. Missing samples, old windows, anonymous screenshots, marketing-only sources, and outcome-style claims lower it.
Source hierarchy: independent or on-chain/processor records > firm rules/payout pages with dates > firm marketing > review-site and social posts > anonymous screenshots. Independent verification means the claim can be checked outside the person or company making it. Firm-published numbers are treated as firm-stated unless independently checked. When sources conflict, the more recent, dated, and independently checkable one wins, and the conflict is noted rather than averaged away.
Affiliate, creator, and firm-provided data: incentivized reviews and firm-supplied figures are labeled as such and are not treated as independent verification. As of July 5, 2026, this checker has no signup links, paid placements, sponsored rows, or monetized routing; if that changes, this page needs a fresh review and any commercial note should sit next to the specific link. Material connections that could affect how a claim reads should be disclosed clearly, consistent with FTC endorsement guidance.
What this checker does not do: it does not certify a firm, estimate your odds of passing, predict payouts, prove solvency, guarantee trading outcomes, or rank firms. It grades whether a claim shows its work.
Corrections: found a claim graded wrong, or have a stronger source? Send the public source URL, checked date, exact claim, and evidence type through the BestProps contact path. Do not send private account documents, passwords, account numbers, tax forms, or payment credentials.
Useful next steps
- Checking a payout-speed claim? Compare firms by payout timing and cadence.
- Checking a fee claim? Compare total challenge cost, resets, and activation fees.
- Checking a review claim? See how BestProps weighs review sources.
- Checking a rule claim? Compare drawdown, daily loss, and consistency rules across firms.
- Have a claim you want reviewed? Report it with the source and date.
These are comparison pages and review notes, not firm picks.
References
General references on evidence, endorsements, and search best practice. They do not validate any prop firm claim or this tool’s output.
- FTC Endorsement Guides FAQ — disclosing material connections in reviews and endorsements.
- Google Search Essentials — use words people search for in titles and headings; keep links crawlable.
- 16 CFR 255.5 — disclosure of material connections that can affect how endorsements are weighed.
