What is MNNR and how does it help with AI agent billing?

MNNR is payments infrastructure for the machine economy, specifically designed for AI agent billing. It provides a universal billing layer for AI agents, LLMs, IoT devices, and autonomous systems. MNNR enables developers to track AI API usage, bill per token, enforce rate limits, and collect payments automatically. Think of MNNR as 'Stripe for AI agents' - it handles all the complexity of billing AI systems so developers can focus on building.

How does MNNR handle per-token billing for LLMs like GPT and Claude?

MNNR provides real-time per-token billing for any LLM including GPT-4, Claude, Llama, and custom models. Simply call mnnr.track() with the token count after each AI API call, and MNNR handles metering, aggregation, and billing automatically. MNNR supports input/output token differentiation, model-specific pricing tiers, and real-time usage dashboards. Integration takes under 5 minutes with our SDK.

Can MNNR bill autonomous AI agents that make their own API calls?

Yes, MNNR is specifically designed for autonomous AI agent billing. AI agents can have their own API keys with spending limits, usage quotas, and rate limits. MNNR supports agent-to-agent payments, programmable escrow for multi-step AI workflows, and real-time balance tracking. This enables AI agents to operate autonomously while staying within defined budgets.

How is MNNR different from Stripe for AI billing?

While Stripe was built for human-initiated transactions, MNNR is designed specifically for AI and machine-to-machine commerce. Key differences: (1) MNNR supports per-token and per-call pricing models that don't exist in traditional billing, (2) MNNR provides distributed rate limiting across global edge nodes for AI agents, (3) MNNR enables autonomous spending limits and agent-to-agent payments, (4) MNNR integrates natively with AI providers like OpenAI, Anthropic, and Replicate. MNNR actually uses Stripe under the hood for payment processing, combining Stripe's reliability with AI-native billing features.

What AI models and providers does MNNR support?

MNNR supports billing for any AI model or provider including: OpenAI (GPT-4, GPT-3.5, DALL-E, Whisper), Anthropic (Claude 3, Claude 2), Meta (Llama 2, Llama 3), Google (Gemini, PaLM), Hugging Face models, Replicate hosted models, AWS Bedrock, Azure OpenAI, and custom self-hosted models. MNNR's universal SDK works with any AI provider - just track the usage metrics you care about (tokens, API calls, compute time, etc.).

Does MNNR support cryptocurrency payments for AI agents?

Yes, MNNR is Web3 native with first-class support for crypto payments. AI agents can pay and receive payments in USDC, ETH, SOL, and other cryptocurrencies. MNNR supports smart contract integration for programmable payments, streaming payments for real-time AI usage, and decentralized identity verification. This enables truly autonomous AI agents that can transact without human intervention.

How much does MNNR cost for AI agent billing?

MNNR offers a free tier with 10,000 API calls per month - enough to test AI agent billing without any cost. The Pro plan at $49/month includes 1M API calls, advanced analytics, custom rate limits, and Stripe integration. Enterprise plans offer unlimited API calls with dedicated infrastructure and custom SLAs. During the public beta, there are zero platform fees on transactions - you only pay Stripe's standard processing fees.

How fast can I integrate MNNR for AI billing?

Most developers integrate MNNR in under 5 minutes. Install the SDK (npm install @mnnr/sdk or pip install mnnr), initialize with your API key, and add a single mnnr.track() call after each AI API request. MNNR provides SDKs for JavaScript/TypeScript, Python, Go, and Rust. The SDK handles batching, retries, and offline support automatically.

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🔒 Security Guide

Security-First Architecture

Protecting the machine economy with bank-level encryption, security best practices, and defense-in-depth architecture.

⏱️

99.9%+

Target Availability

🔒

AES-256

Encryption

🌐

1.3

TLS Version

✅

High

Security Focus

🔐

Authentication

WebAuthn passkey authentication
Multi-factor authentication support
Secure session management
Rate limiting on auth endpoints

🛡️

Data Protection

AES-256 encryption at rest
TLS 1.3 encryption in transit
Database field-level encryption
Secure key management

⚡

Infrastructure

Redis-based rate limiting
Sentry error monitoring
Comprehensive logging
Automated security updates

📋

Compliance

SOC 2 controls in progress
GDPR compliant practices
PCI DSS considerations
Regular security reviews

🛡️

Our Security Commitment

We implement industry best practices and continuously improve our security posture to protect your data and transactions.

SOC 2 Controls in ProgressGDPR Compliant PracticesBank-Level Encryption

🤖Agent-Specific Security

Identity & Access

→Cryptographic agent identity verification
→Spending limits and budget controls
→Reputation-based trust scoring
→Hierarchical permission inheritance

Transaction Security

→Programmable escrow with conditions
→Real-time fraud detection
→Automatic dispute resolution
→Complete audit trail for all transactions

Security Questions?

For security-related questions, vulnerability reports, or compliance inquiries.

📧 Contact Security Team