⚡ The Future of AI Commerce

Trade Intelligence. Build Anything.

The premier marketplace for AI models, datasets, APIs, and tools. Buy, sell, and deploy AI products at scale — securely, globally, instantly.

48K+

AI Products

$280M

Total GMV

12K+

Sellers

190+

Countries

// marketplace

Discover AI Products

From foundation models to specialized APIs — everything you need to build intelligent applications.

24 showing

24 total

// platform

Built for Scale

Enterprise-grade infrastructure with the simplicity of a modern marketplace.

🔐

Zero-Trust Security

End-to-end encryption, MFA, KYC/AML verification, and role-based access control protecting every transaction and asset on the platform.

⚡

Instant API Deployment

Host and serve any model as an API endpoint in minutes. Auto-scaling infrastructure handles millions of inference requests with sub-100ms latency.

🤖

AI-Powered Fraud Detection

Real-time anomaly detection, behavioral biometrics, and risk scoring protect buyers and sellers from bad actors with 99.8% accuracy.

💎

Smart Escrow & Payments

Automated escrow, split payments, and commission management with Stripe, PayPal, and 40+ regional payment providers. Full PCI DSS compliance.

🌐

Global Infrastructure

Multi-region Kubernetes clusters, 99.99% uptime SLA, CDN-accelerated delivery, and disaster recovery across 8 geographic regions.

🔗

Blockchain Licensing

Immutable provenance tracking, smart contract-based royalties, and decentralized storage options via IPFS and Filecoin for IP protection.

// workflow

Simple by Design

From discovery to deployment in four straightforward steps.

Browse & Discover

Search thousands of AI products with semantic search, smart filters, and AI-powered recommendations.

Test Before Buy

Try live API demos, inspect performance benchmarks, and review real user ratings before committing.

Secure Purchase

Pay with any method. Escrow holds funds until delivery is confirmed. Full refund protection included.

Deploy Instantly

Get API keys, download assets, or use hosted endpoints. SDK support for Python, JS, Go, and more.

// sellers

Your Model,
Your Revenue

Advanced seller tools to list, manage, and monetize your AI products with zero friction.

Seller Dashboard — analytics.mafazn.com

REVENUE (30D)

$48,290

↑ 23.4%

TOTAL SALES

1,847

↑ 12.1%

API CALLS (30D)

2.4M

↑ 67.8%

AVG RATING

4.91

↑ 0.08

📦

Product Management

Version control, metadata management, licensing configuration, and bulk upload tools.

💰

Flexible Pricing

One-time, subscription, pay-per-call, and freemium tiers. Dynamic pricing with market insights.

🚀

Marketing Tools

SEO optimization, featured placement, email campaigns, and affiliate partner programs.

Free to list · 80% revenue share · No setup fees

// security & compliance

Trusted by
Enterprises

Military-grade security with full compliance across global regulatory frameworks.

🔐

GDPR & DPDP Compliant
Privacy-by-design architecture with consent management, data minimization, and automated breach notifications within 72 hours.
💳

PCI DSS Level 1
Highest level of payment security certification. Zero cardholder data stored on our infrastructure — all tokenized.
🛡

SOC 2 Type II Audited
Annual third-party security audits with continuous monitoring, penetration testing, and vulnerability management.
🔑

Zero-Knowledge Architecture
End-to-end encryption with customer-controlled keys. We can never access your proprietary model weights or data.

🌐

CDN + DDoS Shield

Cloudflare Enterprise protection

⚖️

Load Balancer

Multi-region traffic routing

🔥

WAF + Rate Limiting

AI-powered threat detection

🔒

mTLS Encryption

All service-to-service comms

🗄

Encrypted Storage

AES-256 at rest, TLS 1.3 in transit

📋

Audit Logs

Immutable, tamper-proof records

// developer api

Built for
Developers

Comprehensive REST API, SDKs for 6 languages, and a sandbox environment for rapid integration.

install

# Install
pip install mafazn-sdk

usage

# Fetch & run a model
from mafazn import Client

client = Client(api_key="mfz_your_api_key")

# Browse models
models = client.products.list(category="language-model")

# Run inference
result = client.models.run(
  model_id="finbert-pro-v2",
  inputs={"text": "Q4 earnings beat expectations"},
  config={"threshold": 0.7}
)
print(result.sentiment, result.confidence)

install

// Install
npm install @mafazn/sdk

usage

// Fetch & run a model
const { Client } = require('@mafazn/sdk');

const client = new Client({ apiKey: 'mfz_your_api_key' });

// Browse models
const models = await client.products.list({ category: 'language-model' });

// Run inference
const result = await client.models.run({
  modelId: 'finbert-pro-v2',
  inputs: { text: 'Q4 earnings beat expectations' },
  config: { threshold: 0.7 }
});
console.log(result.sentiment, result.confidence);

install

// Install
go get github.com/mafazn/sdk-go

usage

package main

import (
  "fmt"
  mafazn "github.com/mafazn/sdk-go"
)

func main() {
  client := mafazn.NewClient("mfz_your_api_key")
  result, _ := client.Models.Run("finbert-pro-v2",
    mafazn.RunInput{Text: "Q4 earnings beat"},
  )
  fmt.Println(result.Sentiment, result.Confidence)
}

install

# Cargo.toml
[dependencies]
mafazn-sdk = "0.1"

usage

use mafazn_sdk::Client;

async fn main() {
  let client = Client::new("mfz_your_api_key");
  let result = client.models
    .run("finbert-pro-v2", json!({
      "text": "Q4 earnings beat"
    })).await?;
  println!("{} {}", result.sentiment, result.confidence);
}

install (Maven)

<!-- pom.xml -->
<dependency>
  <groupId>com.mafazn</groupId>
  <artifactId>mafazn-sdk</artifactId>
  <version>1.0.0</version>
</dependency>

usage

import com.mafazn.Client;

public class Example {
  public static void main(String[] args) {
    Client client = new Client("mfz_your_api_key");
    ModelResult result = client.models().run(
      "finbert-pro-v2",
      Map.of("text", "Q4 earnings beat")
    );
    System.out.println(result.getSentiment());
  }
}

install

# Install
gem install mafazn-sdk

usage

# Fetch & run a model
require 'mafazn'

client = Mafazn::Client.new(api_key: 'mfz_your_api_key')

result = client.models.run(
  'finbert-pro-v2',
  inputs: { text: 'Q4 earnings beat' },
  config: { threshold: 0.7 }
)
puts result.sentiment, result.confidence

GET /v1/products?category=language-model&sort=popular

// Response
{
  "data": [
    {
      "id": "prod_8xK2mNpQ",
      "name": "FinBERT-Pro v2.1",
      "type": "language-model",
      "pricing": {
        "model": "per-call",
        "rate": 0.0012,
        "unit": "per-1k-tokens"
      },
      "rating": 4.8,
      "verified": true,
      "endpoint": "https://api.mafazn.com/infer/prod_8xK2mNpQ"
    }
  ],
  "meta": {
    "total": 12400,
    "page": 1,
    "rate_limit_remaining": 4987
  }
}
        

POST /v1/orders

// Request body
{
  "product_id": "prod_8xK2mNpQ",
  "license_type": "commercial",
  "payment_method": "pm_1OqXpL2eZvKYlo2C",
  "escrow": true
}
        

Tech Stack

react 18

// Install Mafazn React SDK
npm install @mafazn/react @mafazn/sdk

import { MafaznProvider, ModelCard } from '@mafazn/react';

export default function App() {
  return (
    <MafaznProvider apiKey="mfz_your_key">
      <ModelCard modelId="finbert-pro-v2" />
    </MafaznProvider>
  );
}

node.js

// Node.js — purchase a model
const { Client } = require('@mafazn/sdk');
const client = new Client({ apiKey: 'mfz_your_key' });

const order = await client.orders.create({
  productId: 'finbert-pro-v2',
  licenseType: 'commercial'
});
console.log('Order:', order.id, order.status);

kubernetes

# K8s — deploy Mafazn inference pod
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mafazn-infer
spec:
  replicas: 3
  template:
    spec:
      containers:
      - name: infer
        image: mafazn/inference:latest
        env:
        - name: MAFAZN_API_KEY
          valueFrom:
            secretKeyRef: { name: mafazn, key: api-key }
        resources:
          limits: { nvidia.com/gpu: "1" }

pytorch

# PyTorch — load & fine-tune a Mafazn model
from mafazn import Client
import torch

client = Client(api_key="mfz_your_key")
model, tokenizer = client.models.download(
  "finbert-pro-v2", format="pytorch"
)

# Fine-tune on your data
optimizer = torch.optim.AdamW(model.parameters(), lr=2e-5)
for batch in train_loader:
  loss = model(**batch).loss
  loss.backward(); optimizer.step()

postgresql

-- PostgreSQL — query order history
SELECT o.id, p.name, o.amount, o.created_at
FROM   orders o
JOIN   products p ON p.id = o.product_id
WHERE  o.buyer_id = 'usr_abc123'
  AND  o.created_at > now() - interval '30 days'
ORDER BY o.created_at DESC;

// pricing

Transparent Pricing

No hidden fees. Sellers keep up to 90% of revenue.

FREE

_$0

Free forever · no card needed

Up to 5 active listings
80% revenue share
Basic analytics
Community support
Signal AI — core modules
Advanced analytics
Priority placement

See Your ROI

Calculate how much you save by building on Mafazn vs from scratch.

TEAM SIZE — 5 engineers

AVG SALARY — $120k/yr

BUILD TIME — 6 months

MAFAZN PLAN — $499/mo

BUILD FROM SCRATCH

$300,000

WITH MAFAZN (1 YEAR)

$5,988

YOU SAVE

$294,012

ROI: 4,907%

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Trade Intelligence. Build Anything.

Discover AI Products

Built for Scale

Simple by Design

Your Model,Your Revenue

Trusted byEnterprises

GDPR & DPDP Compliant

PCI DSS Level 1

SOC 2 Type II Audited

Zero-Knowledge Architecture

Built forDevelopers

Transparent Pricing

See Your ROI

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Privacy Policy

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Your Model,
Your Revenue

Trusted by
Enterprises

Built for
Developers