Collection and curation
Public advisories, source reports and community submissions inform the repository. Curation organises patterns, references and evidence states so users can understand what is reported and what is supported.
Business enquiries & API partnerships
BharatSecure AI invites telecoms and financial organisations to explore API-led scam detection in their products. Start with a conversation about your use case, the available intelligence and what a useful pilot would need to prove.
Discuss an integrationOur proprietary curated database and derived intelligence bring scam patterns and reputation signals together. Records have different evidence states; a database record is not a count of victims or a confirmed real-world incident.
Public advisories, source reports and community submissions inform the repository. Curation organises patterns, references and evidence states so users can understand what is reported and what is supported.
The public scanner assesses suspicious content and explains warning signs. AI assistance supports assessment; it does not replace source verification or your organisation’s own review.
Existing key-protected lookups check URLs, UPI IDs and Indian phone numbers against available records and applicable UPI pattern rules. An unknown result means no matching signal was found, not that the identifier is safe.
Where available, lookup responses include a verdict, risk score, source count, last-seen information and a masked citation summary. Evidence and coverage vary by record; a signal is not proof of fraud.
These are potential partner use cases to scope and validate together, not integrations already deployed with customers.
Explore scam warnings in subscriber-support journeys or reputation checks for suspicious links and reported Indian mobile numbers. Any network-level or messaging integration would require separate technical validation.
Discuss supplementary URL and UPI reputation signals for customer warnings or analyst review. Your existing fraud controls and authorised decision processes remain responsible for payment decisions.
Explore support for identifying loan impersonation patterns and suspicious collection or application links in customer-service workflows.
Consider reputation checks and explanatory risk signals within payment, onboarding or support experiences, with coverage and thresholds evaluated for your specific use case.
The public site offers consumer scam assessment and a scam intelligence repository. The existing API provides key-protected, rate-limited URL, UPI and phone reputation lookups with manually managed access.
These lookups return limited reputation information, not raw database access. They are not a newly launched paid or production-certified enterprise platform.
Partner-specific workflows, integration modes, volumes, SLAs, security requirements and commercial terms are subject to discussion and validation. This page does not issue API keys or activate a service.
Alongside API partnerships, BharatSecure AI is piloting a public, dated record of what it has checked about a business. This is a pilot, not a launched product, and no pricing is committed.
A public page lists the named checks completed, for example that a GST registration is active, with the method, the date and an official source link for each. A record expires and is renewed only after the checks are repeated.
A record is not a guarantee of product quality, authenticity or future conduct, and it is not a certification. Anything listed has a source. Anything not listed was not checked.
A business cannot buy a better result. If a record is flagged or revoked, the public reason is shown, and any paid relationship is disclosed on the record. Businesses can ask for a review and reply to concerns.
Tell us about your business through the enquiry form below. Do not send documents or credentials through the form. We will explain what is checked, mostly from public registers, and start only after you agree.
A possible flow for discussion, not a ready-made integration or a promise of fraud prevention.
Agree the customer journey, permitted data, risk question and evaluation criteria before any integration work.
A partner could submit a supported identifier through an agreed, authorised lookup flow. Do not send credentials or customer records through the enquiry form.
Use the returned reputation and available evidence alongside your own controls. Plan for unknown results, incomplete coverage and service failures.
Validate usefulness, false positives, privacy and operating requirements before agreeing any production deployment or service terms.
BharatSecure AI owns its curated database and derived intelligence, not the third-party articles or source material referenced within it. Those materials remain the property of their respective owners.
Existing privacy and identifier-masking protections remain in place. Public lookup responses do not return raw matched identifiers. We do not offer raw database exports through this page.
Tell us the problem you want to solve. We can discuss feasibility and a potential pilot, with scope and terms agreed case-by-case. No pricing, SLA or integration commitment is made by submitting an enquiry.
Tell us about your organisation and the problem you want to solve. Share high-level requirements so we can discuss suitability and a potential pilot.
The business enquiry form collects name, email, organisation and a use case, with optional role, industry and expected volume. Enquiries are currently handled in English. Do not include passwords, API keys, account details or sensitive customer records.
Open the business enquiry form in a JavaScript-enabled browser. Your details are used to handle your enquiry under our privacy policy. Scope and terms are agreed case-by-case.