Paid provides a no‑code platform that tracks AI agent usage, costs, and outcomes, generating detailed value receipts and automated invoices for customers. It supports flexible pricing models—including credits, usage‑based, outcome‑based, and hybrids—while offering real‑time margin analytics and enterprise‑grade security compliance. The service enables AI‑native companies to monetize agents transparently and optimize revenue without engineering effort.
Funding
$10.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses leveraging AI agents often lack granular visibility into their operational costs and profit margins, leading to potential budget overruns and missed revenue opportunities. The complexity of AI agent usage across multiple vendors and varied pricing models makes accurate billing and financial forecasting challenging.
Solution
Paid provides an AI agent cost tracking and billing automation platform designed to offer comprehensive financial oversight. The system automatically instruments AI agent usage across various providers, delivering real-time insights into spend, profit margins, and optimization opportunities. It automates the entire revenue cycle, from granular usage tracking and flexible pricing model implementation to invoice generation and payment processing. This enables businesses to price AI services with confidence, ensure accurate billing, and maintain profitability.
Target Audience
The platform targets AI vendors and traditional businesses that utilize AI agents internally, requiring robust cost management and automated billing solutions for their AI operations and product offerings.
Features
- Real-time AI agent cost tracking across multiple vendors (e.g., OpenAI, Anthropic, Mistral, ElevenLabs) via OpenTelemetry-based SDKs.
- Automatic instrumentation for capturing comprehensive usage data from any API.
- Multi-vendor monitoring and unified usage tracking for a consolidated view of AI spend.
- Real-time margin monitoring and visibility into agent performance and value.
- Support for flexible pricing models, including seat-based, activity-based, and outcome-based pricing within single contracts.
- Automated invoice generation and revenue operations dashboard for streamlined billing.
- Embeddable dashboards ("Blocks") for customers to track AI and automation value with live data updates.
- SDKs available for Node.js, Python, Go, and Ruby for straightforward integration.
- Support for automated credit card charging, manual payment recording, and prepaid credits.