apiCEP

apiCEP

Payment validation API for Mexican businesses

Developer Tools·AI & Machine Learning·E-Commerce

About

apiCEP is a powerful payment validation API designed specifically for Mexican businesses that accept bank transfers (SPEI).

In Mexico, millions of small businesses, micro-enterprises, lottery platforms, and raffle organizers accept payments via bank transfers but struggle to validate them quickly and accurately. apiCEP solves this problem by using AI-powered OCR technology (Gemini AI) to automatically read and validate payment receipts in real time.

Key Features:

  • Instant payment receipt validation using OCR and AI
  • SPEI transfer verification for Mexican bank accounts
  • Easy REST API integration with any platform or language
  • Designed for micro-enterprises, informal businesses, and SaaS platforms
  • Reduces fraud and manual verification errors
  • Fast response times for real-time payment confirmation
  • Simple pricing plans for businesses of all sizes

Use Cases:

  • Online stores accepting bank transfers
  • Lottery and raffle platforms
  • Freelancers and service providers
  • Any business receiving SPEI payments in Mexico

apiCEP helps businesses automate their payment validation workflow, saving time, reducing errors, and improving customer experience. Start validating payments in minutes with our simple API integration.

X/Twitter@OsOsOsOs1233
PricingFreemium
LaunchedAug 24, 2026

Publisher

Joined May 20261 launch

Comments

1
  • user-ziuzyg
    user-ziuzygMaker· 4mo ago

    Hey! I'm Oscar, the founder of apiCEP. We built this API to solve a critical pain point for Mexican businesses — validating SPEI bank transfer receipts instantly using AI and OCR. If your business acc

Ready to launch?

Submit your product and get discovered by builders and creators worldwide.

Launch Now

FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Audience
the important thing to do is to run the lift studies within the platform which actually doing AB tests with hold out groups to tell you because for a brand like 11 Labs where lots of people already know you you'll often end up with lots of people would have converted anyway and particularly as you start doing stuff like retargeting ads

Run lift studies with holdout groups — not attribution reports — to know real ad impact

At scale, reported conversions are wildly inflated by people who would have converted without seeing an ad. ElevenLabs runs platform-level lift studies with holdout groups to measure true incrementality, then applies a quarterly adjustment to all channel attribution before making budget decisions. Any app spending into retargeting or branded keywords needs this discipline or it will dramatically overestimate paid channel ROI.

Pricing
Over the course of maybe two or three months with maybe 10 experiments I was able to increase the conversion rate from 0.5% all the way up to 8% just by optimizing the onboarding and paywall. Suddenly growth skyrocketed, going from around $8K a month to over $30,000.

AB-tested paywalls took conversion 0.5% → 8% and revenue $8K → $30K in 2-3 months

Roughly 10 paywall and onboarding A/B tests over 2-3 months lifted paid conversion 16x on the same traffic, pushing revenue from $8K/mo to $30K+/mo. The unlock was treating the paywall — not the product itself — as the highest-leverage experimentation surface and letting event-analytics data, not opinion, decide each variant.

There's a play for whatever you're stuck on.

Read all 2722 playbooks