VerifyPulse
Controlled scam-risk decision support

Explainable scam link and message risk intelligence for India-focused teams.

VerifyPulse helps customer-safety, support, lending, payment, and merchant teams assess suspicious links and messages with available evidence and clear next steps. It is designed to support—not replace—a client’s final fraud, payment, or regulatory decision.

What is available today

The production scanner uses multiple evidence paths. Each result is service-aware: a lack of live AI analysis is not presented as proof that submitted content is safe.

URL and message forensics

Checks can identify suspicious URL structure, brand-domain mismatch, credential/OTP pressure, payment pressure, and other scam signals.

Historical reputation evidence

Known URL/domain evidence is checked against the maintained historical reputation index before live AI analysis is needed.

Explainable result contract

Results can include risk level, confidence interpretation, evidence labels, recommended next steps, and an honest service-status boundary.

How a safer review flow works

01 — SubmitA user or support agent submits a suspicious URL or message.
02 — Check evidenceLocal forensics, historical reputation, and available enrichment are evaluated.
03 — Assist when availableExternal AI analysis may assist with ambiguous content within the request budget.
04 — Explain and routeThe result gives evidence and safe next steps; the client keeps its own final decision process.

Current B2B URL-scan API

The maintained B2B route currently accepts credential-free HTTP(S) URLs. It uses API-key authentication, scope checks, correlation IDs, and basic rate-limit headers. Broader integration modes should be agreed during a controlled pilot.

Request shape

POST https://www.verify-pulse.com/api/v1/scan
X-API-Key: YOUR_API_KEY
X-VerifyPulse-Key-Id: YOUR_KEY_ID
Content-Type: application/json

{
  "url": "https://example.com/suspicious-link"
}

Response boundary

{
  "correlation_id": "request-correlation-id",
  "status": "SUSPICIOUS",
  "threat_level": "MEDIUM",
  "scam_type": "Unknown",
  "confidence": 0,
  "message": "Analysis complete.",
  "action_steps": []
}
Important: The example fields show the supported B2B response shape, not a promised verdict for any particular URL. Do not use the result alone to automatically block a payment or account action.

Trust and pilot boundaries

Data and security discussion

Review the Trust Center for current input safeguards, B2B metadata-only operational events, and limits that are deliberately not overstated.

Risk-management discussion

Review Risk Management for degraded responses, evidence layers, and the boundary between VerifyPulse decision support and a client’s final controls.

Service transparency

The Status page shows exactly which public checks are visible and what each one does—not a hidden blanket uptime claim.

Start narrowly

A first controlled pilot should use one measurable scam-communication workflow and a pre-agreed limited capacity.

Business contact

For a controlled pilot or business API discussion, email narayanglokhande2007@gmail.com with the intended use case and approximate request volume. Fit, data fields, safeguards, and capacity are reviewed before onboarding.