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Method

Not a black box. A library.

A hand-written library of documented fraud scripts, deterministic scoring you can inspect, and analysis that runs entirely in your browser.

01Your conversationStays on this device
→
02Documented rulesVisible and weighted
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03Reasoned reportEvery match explained
Why scripts repeatInside an analysisReading the scoreVerify in ten minutesScoring weights
Method

Not a black box. A library.

Most checkers sell a confidence score and no reasoning. This one shows the rule that fired, the line that triggered it, and why it matters — and how the score is built.

01

A taxonomy, not a model

Fraud operations run from playbooks. We maintain a structured library of documented scripts — nine archetypes, five behaviour areas, weighted indicators — assembled from FTC, FBI IC3, City of London Police and AARP guidance plus survivor reports.

02

Deterministic scoring

Every point traces to an inspectable pattern match. Open the full taxonomy and read the rule that fired, weight and reasoning attached.

03

Local by default

Analysis runs in your browser. The conversation is never uploaded or sent anywhere — an account records that an analysis happened, never what it said.

The scale of it

  • $929mreported US losses to romance and investment fraud, 2025 — up 38% in a year
  • 60%start on social media, not dating apps
  • 79weighted indicators in the taxonomy
  • 94%of victims recover nothing — which is why the first hour is free forever
  • 0bytes of your conversation uploaded, ever
01 · Why detection works

A playbook leaves fingerprints.

Instant trust
Move platforms
Introduce money
3repeating stages
catalogued

Fraud at this scale is not improvised one conversation at a time. Operations reuse the same stages, claims and pressure tactics across continents. Repetition is their weakness: anything repeated can be catalogued.

Scripted Playbooks create consistent stages.Weighted Rare signals count more.Inspectable Every match shows its reason.
See the evidence behind this method

Romance and investment fraud is now the largest consumer fraud category on earth. The FBI's IC3 recorded $929.3m in reported US losses in 2025 — year-on-year increase — and the FTC counted $1.16bn reported to it in nine months. Individual investment-romance scams average $177k.

60% of victims were first contacted on social media rather than a dating app, roughly one incident in twenty is ever reported, and 94% of victims recover nothing. People who escape are overwhelmingly the ones who check before sending.

02 · What happens when you press Analyse

Six checks. One transparent report.

  • The text never leaves your device. The analyser is JavaScript running in your browser. There is no upload, no server-side model and no third-party API, which is why the tool still produces a report with your network disconnected.
  • It is split into speakers and turns. The report needs to know who said what, because a script is a sequence — the order a demand arrives in matters as much as its wording.
  • Every rule in the taxonomy is applied. Each indicator carries a weight of 1 to 3 and a written reason. Weight 1 is weak and common in ordinary conversation; weight 3 rarely appears outside a documented script.
  • Protective patterns subtract. Ordinary relationship conversation, plausible scheduling, and a refusal to discuss money all reduce the score. False-positive defence is part of the scoring, not an afterthought.
  • Links are read against the conversation. Not looked up — compared with what the person claimed two lines earlier. See the link checker page for why that distinction is the whole product.
  • You get the reasoning, not just the verdict. Each match shows the phrase that fired, the rule it belongs to, and why that rule exists. You can disagree with any of it, and the report is built so that you can.
03 · Reading the score

A resemblance score. Never a verdict.

A score measures resemblance to documented fraud scripts. It is not a probability that a person is a criminal, a prediction, or a substitute for verification.

A high score means verify this pattern through a second channel. A low score means no known indicator fired — not proof that somebody is honest.
?Verify
LowElevatedHigh

Evidence guides the next check.
It does not judge a person.

04 · Human verification

The next ten minutes matter most.

No analysis replaces these. They are what the report ends by pointing you at, and each one is a thing you can do in the next ten minutes.

  1. Contact the institution through a number you already hadNot the number in the message, not the number on the website they sent. Use the number on your card, or the one printed on a statement that arrived before this conversation started. If the approach is genuine, the real institution will already know about it.
  2. Demand a live video call with a challenge you inventAsk them to hold up three fingers, turn their head left, or read back a random sentence you type in the moment. Pre-recorded video and most current deepfake streams fail an unpredictable request. Refusal, or "my camera is broken", is itself the answer.
  3. Check the platform they want you to useFor any investment: SEC/FINRA BrokerCheck, the FCA register, or ASIC in Australia. If it is not registered, it is not an investment. Also check the FCA and SEC clone-firm warning lists — fraudsters copy real firms with near-identical websites.
  4. Check the domain ageA "trading platform" registered last month, with a TLS certificate issued the same week, is not a firm. The registration date is public and takes ten seconds to find.
  5. Search their exact phrasesCopy three or four distinctive sentences into a search engine inside quotation marks. Industrialised scripts are reused thousands of times and frequently appear verbatim in scam-report databases and forum threads.
  6. Ask someone outside the conversationSend the thread to one person who does not want anything from you. This is the single most effective defence in existence, and the one every isolation tactic in every script is designed to prevent.
05 · Scoring weights

Stronger evidence carries more weight.

1Weak signal
2Meaningful
3Strong signal

Three weight bands, a cap on weak evidence, and a set of patterns that subtract. The whole scoring system fits on one page because it is meant to be read, not believed. The examples below are real indicators from the library.

BandWeightWhat it meansA real indicator from the library
Weak signalw = 1Common in ordinary conversation; counts for little on its own.“Contacts you at extremely high frequency” — urgency is normal in human lives.
Meaningful signalw = 2Unusual enough to matter, ordinary enough to have innocent explanations.“Claims military deployment or overseas service” — a real job can also block a real video call.
Strong signalw = 3Rarely appears outside a documented script.“Supplies a wallet address” — the request to make the money unreturnable.
Weak evidence is capped: structural findings from the link checker add at most four points to a hundred, and they cannot carry a high score on their own. Protective patterns subtract — a planned in-person meeting, a real-time video call with interaction, a refusal to discuss money. A score you can disagree with, line by line, is a score worth reading.
Read the rule library

Every indicator, every weight and every reason it exists. Nothing in the scoring is hidden from you.

The link checker Why a URL is read against the conversation. The taxonomy Every rule, every weight, every reason it exists. Limits Where this is most likely to be wrong. FAQ Privacy, accuracy, refunds, and the first hour.
PrivateCue

Patterns made visible.
Decisions left with you.

Private fraud checks against an inspectable rulebook. Conversation and screenshot text stays on this device.

Privacy boundary
Your deviceMessage or screenshot
→
Local rulesPattern analysis here
× Text upload× Transcript storage× Person verdict

Understand

How it works Open rulebook Limits and honesty Case files Questions answered

Check

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Sources behind the rule library +

FBI IC3 Internet Crime Report 2025 · FTC Consumer Sentinel and the April 2026 romance-fraud release · City of London Police (May 2026) · AARP Fraud Watch Network (Feb 2026) · McAfee Labs 2026 · CFPB elder-fraud guidance · FINRA Rule 2165 and Trusted Contact guidance.

© 2026 PrivateCue. Not legal, financial or law-enforcement advice. PrivateCue reports resemblance to documented fraud scripts; it never makes a finding that a specific person committed a crime. In immediate danger, contact local emergency services.