Foundations
Foundations is DocketLayer's reference library for the two systems an agent-native docket API sits on top of: the economics of agentic commerce, and the plumbing of the US court system. Everything here is written for developers, technical product teams, and operators who need to understand how the pieces fit together before they integrate — or before they decide whether to.
Four tracks. Agentic Commerce covers why machine-to-machine payments matter, what x402 is, and why legal data is a natural fit. PACER covers the US federal court system and how to work with it programmatically. Tyler Odyssey covers the US state court landscape, which is fragmented, underexplored, and where the majority of US litigation actually lives. Further Reading is the long-form essay collection — still being written.
Agentic Commerce
The emerging economy of AI agents transacting autonomously — holding their own wallets, paying per request, operating without human approval at each step. This track covers what agentic commerce is, how HTTP-native payments actually work, and how to build services for machines rather than humans.
Open the Agentic Commerce cluster →-
What Is Agentic Commerce?
A primer on the shift to machine-to-machine transactions: open protocols, USDC settlement, and why McKinsey projects $3–5 trillion in agent commerce volume by 2030.
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x402 vs MPP: Comparing Agentic Payment Protocols
The two open standards for agent payment rails, side by side — payment model, settlement, fiat support, compatibility, and why DocketLayer runs x402 natively.
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The Headless Merchant: Building for Agents, Not Humans
A headless merchant has no storefront, no checkout, no sales team — just endpoints, a price per call, and documentation. Why the category exists and what it means for distribution.
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The History of HTTP 402
"Payment Required" was defined in HTTP/1.1 in 1996 and reserved for future use. It sat unused for three decades because the infrastructure didn't exist. x402 is what finally implements it.
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The Intention Economy
When the buyer is a machine, persuasion, discovery, and upsell become irrelevant. An agent arrives with intent already formed and needs only to transact. What that shift means for how services are built.
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Legal Data as an Agentic Vertical
Not every data service fits the pay-per-query model. Federal court docket monitoring hits all six criteria that make a vertical defensible in agentic commerce.
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How to Build a Walleted Docket Monitoring Agent
A practical walk-through: wiring a Solana wallet to an agent, handling the 402 challenge, paying, retrying, and monitoring balance — end-to-end, with code.
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How to Fund an Agent Wallet with USDC
Every practical way to put USDC into a Solana agent wallet — Coinbase, Kraken, Jupiter, cross-chain bridges — plus how much to fund and the most common failure mode.
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x402 and Solana Wallet Setup
Three steps to get an agent paying for its own calls: create a Solana wallet, fund it with USDC, configure x402 in your agent code. Payment becomes authentication.
PACER
PACER — Public Access to Court Electronic Records — is the US federal judiciary's official system for public access to docket and filing data. These guides cover how it works, how to query it programmatically, and how DocketLayer's agent-native API compares to the alternatives.
Open the PACER cluster →-
Federal Courts, PACER & CM/ECF: a Developer's Guide
How the federal court system is organized across 94 district, 90 bankruptcy, and 13 circuit courts — and what PACER and CM/ECF actually are, from a developer's perspective.
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How to Query PACER Programmatically
PACER has no REST API. Programmatic access means scraping 184 court-hosted CM/ECF instances, each with its own session handling and HTML. What that involves — and when to use an abstraction instead.
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Federal Case Number Format: a Complete Reference
The federal case number encodes court division, year, case type, and sequence. The standard format, all case type codes, variations by court, and how to use case IDs with DocketLayer.
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Highest-Volume Federal Courts: Where the Litigation Is
Federal litigation is not evenly distributed. A small number of jurisdictions handle the majority of commercially significant cases — and those are the courts DocketLayer's launch coverage targets.
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PACER vs CourtListener vs DocketLayer: Which to Use
Three sources for federal court data, compared across access model, data freshness, cost, and fit for automated monitoring. Choose the right tool before you build.
Tyler Technologies Odyssey
Tyler Technologies Odyssey is the closest thing the US state court system has to a unifying standard — deployed across more than 1,000 counties in over 30 states, covering roughly 55% of the US population. These guides explain the state court landscape, where Odyssey fits, and what automated state court monitoring actually requires.
Open the Tyler cluster →-
Tyler Technologies Odyssey: a Developer's Guide
What Odyssey is, which courts use it, how it differs from PACER and CM/ECF, and what the programmatic access challenges look like in practice.
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Which States Use Tyler Technologies Odyssey
Odyssey is deployed unevenly — statewide in some jurisdictions, county-by-county in others. The major deployments, the scope of each, and the priority order for monitoring workflows.
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Federal vs State Court Monitoring: Choosing the Right Scope
The jurisdictional split, workflow-by-workflow guidance on which scope fits, and the practical differences in data access between federal and state systems.
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State Court Systems: a Developer's Guide
More than 95% of US litigation is filed in state courts, and the technology landscape is extraordinarily fragmented. The full map — Odyssey, other vendors, proprietary and legacy systems — and what that fragmentation means for developers.
Further Reading
Longer-form essays on the ideas shaping agent-native commerce — the economic shifts, the technical standards, the legal infrastructure — written from the perspective of a team building at that intersection. Not link roundups; original pieces that engage directly with the best thinkers in the space. Still being written; new pieces will appear here as they publish.
Open Further Reading →