Guaranteed returns
“Guaranteed 30% returns.”
Why pause: A promised high return needs careful checking. Investments carry risk.
PrivacyExplore a sample FINANCIAL THREAT INTELLIGENCE
NIGRAH organizes public evidence into connected warning signs and behaviors, helping people study how financial threats take shape and change.
See a 60-second practice storyPublic evidence · Connected patterns · Explainable scores
AI-ASSISTED SAMPLE ANALYSIS
AI interprets the sample. NIGRAH maps its observations to a defined warning-sign catalog and applies the NIGRAH scoring rules.
A 60-SECOND STORY
Same chat, two views. What you see, and what NIGRAH sees.
A clue is a reason to pause and check. It is not proof on its own.
A message arrives with an investment opportunity. What happens next?
SIX CLUES TO RECOGNIZE
These phrases appear in NIGRAH’s pilot catalog. One clue alone does not establish fraud.
“Guaranteed 30% returns.”
Why pause: A promised high return needs careful checking. Investments carry risk.
“Only 20 seats left. Join today.”
Why pause: A rush to act can make it harder to verify first.
“Join our VIP group. Members are earning.”
Why pause: Group names and profit claims are not proof of real results.
“Transfer the funds to my personal account.”
Why pause: Pause and verify the official payment route before sending money.
“Pay a fee before withdrawal.”
Why pause: A new payment demanded to release funds is a reason to stop and check.
“I am a SEBI-certified analyst.”
Why pause: A message’s claim is not proof. Check the name with SEBI.
IF A MESSAGE FEELS WRONG
Do not rush to pay, share an OTP, or send documents.
Check the person or firm through an official source before acting.
Search SEBI intermediaries ↗Lost money? Contact India’s cybercrime helpline. Suspect a fraud message or call? Report it to Chakshu.
Public sourcesEvidence has a source to inspect.
Reasoning shownSee which phrases and links appeared.
Evidence-linked scoresTrace the connections behind a result.
THE NIGRAH MODEL
Explore the signal taxonomy, behavior graph, family matching, and the scoring framework behind every result.
Explore the model