About DocketLayer

There is a moment — if you have spent any time building with modern AI tools — when something shifts. It is not a gradual realization. It is more like a threshold. On one side, software is a tool that humans use. On the other side, software is an agent that acts.

The people who have crossed that threshold tend to describe it the same way: like seeing the first iPhone and understanding, not just intellectually but viscerally, that the category of thing in your hand is going to change everything.

DocketLayer was built on the other side of that threshold.

The Idea

The intellectual foundation came from people thinking seriously about what agentic commerce means for the structure of the economy. Noah Levine and the team at a16z crypto articulated it as the era of the headless merchant — businesses built not for human browsers but for walleted agents, with no storefront, no checkout page, and no sales team. Simon Taylor named the shift the intention economy: agents arrive already knowing what they want, and the merchant's only job is to fulfill it. The x402 Foundation, governed by a technical steering committee of Coinbase, Cloudflare, and Stripe, made machine-native payments real — HTTP 402 finally wired up after sitting dormant since 1996.

The protocols were live. The frameworks were mature. The wallets were funded. The infrastructure was ready. What was missing was the data layer.

Specifically: court dockets. Hundreds of millions of case records across thousands of federal and state courts, updated continuously, carrying some of the most commercially significant information in the economy — judgments, bankruptcies, regulatory enforcement actions, securities litigation, intellectual property disputes. Information that debt collectors, lenders, insurers, compliance officers, and legal professionals need to act on in real time.

There was no agent-native way to get it. PACER was built for human attorneys in the 1990s. No webhooks. No structured API. No change detection. No x402 support. No walleted agent in the world could query a federal docket without a human managing credentials, handling sessions, normalizing inconsistent data across courts, and watching for changes manually.

That gap was DocketLayer.

What We Built

DocketLayer is a middleware API that sits between court record systems and the AI agents that need structured legal data. We handle authentication, session management, scraping, normalization across courts, and change detection. An agent submits a case ID and court code, pays $0.99 in USDC via x402 on Solana, and receives a clean, structured JSON response — changed or not changed, and if changed, what changed.

The API covers 2,148 courts across the United States and Canada: all 94 federal district courts, 13 appellate circuits, 94 bankruptcy courts, all 50 US state court systems, and Canadian federal, provincial, and territorial superior courts. An MCP server package — @docketlayer/mcp-server — makes the full tool catalog available to any MCP-compatible AI client without additional integration work. The server handles payment automatically using a configured Solana wallet.

The Coverage page is public. The Changelog is current.

What We Believe

We believe we are in the opening years of a period that will be looked back on the way we look back on the emergence of the web, or the smartphone, or the cloud. Not because AI is magical — it is not — but because the combination of capable language models, agent frameworks, and machine-native payment protocols has collapsed the gap between having an idea and being able to execute on it at scale.

For the first time, a single person with a clear idea and the right tools can build infrastructure that serves thousands of automated clients simultaneously, generates revenue passively, and compounds in value as coverage expands and data accumulates. No employees required. No office. No sales calls. The agents are the customers, and they never sleep.

This is not just a business model. It is a new kind of individual economic freedom — one that the tools of the last decade made possible in theory but the tools of this decade are making real in practice.

DocketLayer is one small, specific contribution to that infrastructure. One niche. Court dockets. Agent-native. Pay per query. No subscriptions, no accounts, no humans in the loop.

Bangkok Street Cat Project

DocketLayer donates 10% of all revenue to the Bangkok Street Cat Project, a nonprofit organization dedicated to the rescue, rehabilitation, and rehoming of street cats in Bangkok, Thailand. It is important work, and we are glad to support it.

The Company

Please direct any questions to help@docketlayer.com.