Script Master Labs (SML) builds agent-native infrastructure for autonomous AI commerce.
Our APIs and MCP services help AI agents discover services, verify provider trust, execute tools, and settle machine-to-machine payments using stablecoins and x402 on Base.
SML focuses on verifiable delivery, machine-readable trust, secure agent orchestration, and low-friction autonomous payments.
Script Master Labs enables autonomous AI agents to discover and invoke machine-readable services and complete stablecoin payments through x402-compatible infrastructure. Our agent-native APIs and MCP services are designed for machine-to-machine commerce without requiring a human to manually provision an API key for every transaction.
SML extends autonomous commerce beyond payment by focusing on whether a service actually delivered an acceptable result. Our trust and verification architecture connects service discovery, execution, payment, and delivery evidence so agent systems can distinguish successful transactions from failed, stale, or unverified outcomes.
Provider Trust gives autonomous systems machine-readable signals for evaluating providers before execution. The goal is to help agents answer critical questions: what does this provider offer, can its capabilities be verified, is its endpoint callable, and is the presented payment and service information consistent with observable evidence?
SML operates agent-native services designed around HTTP 402 payment flows and stablecoins on Base. This enables granular pay-per-use access to machine services without traditional subscriptions or long-lived API credentials, supporting economical autonomous transactions between software agents and service providers.
SML builds MCP, API, and machine-readable discovery infrastructure that helps autonomous agents move from finding a service to understanding its capabilities and invoking it correctly. Structured manifests, schemas, and callable interfaces reduce the gap between human-oriented websites and agent-executable services.
SML develops evidence-based verification infrastructure for autonomous systems. Claims about endpoints, capabilities, pricing, payment destinations, and other operational facts can be classified against observable evidence to identify stale, unsupported, or contradictory information before an agent relies on it.
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