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Axiom provides structured information for AI assistants via an llms.txt file. Industry: Developer Tools. The website axiom.co provides its llms.txt at https://axiom.co/docs/llms.txt. Listed since 21 January 2026.
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# Axiom documentation
> Axiom is a data platform for ingesting, storing, and querying logs, traces, and other event data. This documentation covers the Axiom Console, sending data, the Axiom Processing Language (APL), and the REST API.
Every page below is served as plain Markdown at the linked `.md` URL. The entire corpus in one file: [llms-full.txt](https://axiom.co/docs/llms-full.txt). A standalone APL language reference: [llms-apl.md](https://axiom.co/docs/llms-apl.md).
## Documentation
- [What is Axiom?](https://axiom.co/docs/introduction.md)
- [Quickstart](https://axiom.co/docs/getting-started.md): Go from zero to confident with Axiom. Learn datasets, queries, virtual fields, monitors, and dashboards in progressive steps.
- [Architecture](https://axiom.co/docs/platform-overview/architecture.md): Technical deep-dive into Axiom’s distributed architecture.
- [Features](https://axiom.co/docs/platform-overview/features.md): Comprehensive overview of Axiom’s components, features, and capabilities across the platform.
- [Manage datasets](https://axiom.co/docs/reference/datasets.md): Learn how to manage datasets in Axiom.
- [Edge deployments](https://axiom.co/docs/reference/edge-deployments.md): This page explains Axiom’s edge deployment architecture and how to control where your event data is stored.
- [Limits](https://axiom.co/docs/reference/limits.md): This reference article explains the pricing-based and system-wide limits and requirements imposed by Axiom.
- [Optimize p
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