How does BIN intelligence help reduce chargebacks?

Comparing the card's issuing country to the request's IP surfaces the mismatches that correlate with stolen-card fraud before you authorize, so you can step up or decline the riskiest transactions and cut the chargebacks that follow them.

Can I use this for compliance and sanctions routing?

As a first-pass overlay, yes — OFAC and FATF country flags help you route elevated-risk transactions to review. It complements, and never replaces, the per-party SDN screening a regulated business must perform.

Fintech & payments — LocaleSense

Q: What geolocation signals do payments and fintech apps actually need?

More than location. A payments business needs attributable FX, the card-BIN-versus-IP mismatch signal, network threat posture, and coarse sanctions flags to route risk — all money-safe and traceable to a source. That is the gap between a geo API and a commerce-intelligence API.

The signals a payments business needs and a plain geo API lacks: central-bank FX, the card-BIN-versus-IP mismatch, network threat posture, and coarse sanctions flags to route risk — all money-safe and attributable.

Why it works_

Built for money movement

Central-bank FX

Attributable rates, money-safe conversion, staleness reported.

BIN intelligence

Issuing-country mismatch, the fraud signal unique to payments.

Compliance overlay

OFAC/FATF country flags to complement party screening.

The data behind it

One call, these response blocks.

This page maps to these blocks of the same response every other page reads:

Live FX
Network & fraud
Payments

fintech-payments.sh

curl -X POST "https://api.localesense.com/v1/fraud/check" \
  -H "Authorization: Bearer ls_live_..." \
  -d '{"ip":"203.135.62.10","bin":"539983"}'

In practice

What your code sees, per request.

The sample on the right is the shape of the real response for a visitor in Karachi — every value attributable, nothing guessed. Point the same call at any of the 197 markets.

Try it live in the docs

GET /v1/self 200 OK · sample