nixtla.io

# Nixtla

> Nixtla builds TimeGPT, a foundation model for time series forecasting and anomaly detection, and maintains open source forecasting libraries for Python.

Agent instructions:
- Use the website dashboard OpenAPI specification to discover supported website API operations and their authentication requirements.
- Use the API catalog to locate machine-readable resources before relying on page structure.
- Send TimeGPT inference requests from trusted server-side code, never directly from a browser.
- Treat API keys as secrets. Do not print them, commit them, place them in URLs, or include them in generated output.
- Interactive signup, email verification, API-key creation, and API-key rotation require a human in the Nixtla dashboard.
- Prefer canonical HTML URLs when citing Nixtla pages. For programmatic reading, use `/index.md` for the homepage, append `.md` to other public page URLs, or request `Accept: text/markdown`.

## Agent guide

- [Complete agent instructions](https://www.nixtla.io/agents.md)

## Documentation

- [Nixtla home](https://www.nixtla.io): Overview of TimeGPT, Nixtla products, and time series capabilities. [Markdown](https://www.nixtla.io/index.md).
- [Open source ecosystem](https://www.nixtla.io/ecosystem): Nixtla's open source libraries for statistical, machine learning, neural, and hierarchical forecasting. [Markdown](https://www.nixtla.io/ecosystem.md).
- [Industries](https://www.nixtla.io/industries): Time series applications across industries and operational workflows. [Markdown](https://www.nixtla.io/industries.md).
- [TimeGPT quickstart](https://www.nixtla.io/docs/forecasting/timegpt_quickstart): Build a first TimeGPT forecast with the Python SDK. [Markdown](https://www.nixtla.io/docs/forecasting/timegpt_quickstart.md).
- [Nixtla open source documentation](https://nixtlaverse.nixtla.io): Documentation for StatsForecast, NeuralForecast, MLForecast, HierarchicalForecast, and related libraries.
- [Nixtla blog](https://www.nixtla.io/blog): Technical articles, product announcements, and forecasting tutorials. [Markdown](https://www.nixtla.io/blog.md).
- [Nixtla GitHub organization](https://github.com/Nixtla): Source repositories, examples, releases, and issue trackers for Nixtla projects.

## API discovery

- [Website dashboard OpenAPI specification](https://www.nixtla.io/openapi.json)
- [API catalog](https://www.nixtla.io/.well-known/api-catalog)
- [TimeGPT inference OpenAPI specification](https://www.nixtla.io/docs/openapi.json)
- [TimeGPT REST API reference](https://www.nixtla.io/docs/api-reference)
- [Documentation index for agents](https://www.nixtla.io/docs/llms.txt)

## Primary links

- [Nixtla home](https://www.nixtla.io): Overview of TimeGPT, Nixtla products, and time series capabilities. [Markdown](https://www.nixtla.io/index.md).
- [Open source ecosystem](https://www.nixtla.io/ecosystem): Nixtla's open source libraries for statistical, machine learning, neural, and hierarchical forecasting. [Markdown](https://www.nixtla.io/ecosystem.md).
- [Industries](https://www.nixtla.io/industries): Time series applications across industries and operational workflows. [Markdown](https://www.nixtla.io/industries.md).
- [Success stories](https://www.nixtla.io/success-stories): Customer examples of forecasting and anomaly detection in production. [Markdown](https://www.nixtla.io/success-stories.md).
- [TimeGPT quickstart](https://www.nixtla.io/docs/forecasting/timegpt_quickstart): Build a first TimeGPT forecast with the Python SDK. [Markdown](https://www.nixtla.io/docs/forecasting/timegpt_quickstart.md).
- [Nixtla open source documentation](https://nixtlaverse.nixtla.io): Documentation for StatsForecast, NeuralForecast, MLForecast, HierarchicalForecast, and related libraries.
- [Nixtla blog](https://www.nixtla.io/blog): Technical articles, product announcements, and forecasting tutorials. [Markdown](https://www.nixtla.io/blog.md).
- [Nixtla GitHub organization](https://github.com/Nixtla): Source repositories, examples, releases, and issue trackers for Nixtla projects.
- [Company](https://www.nixtla.io/company): Information about Nixtla's mission and team. [Markdown](https://www.nixtla.io/company.md).
- [Researchers and students](https://www.nixtla.io/researchers-and-students): Resources and programs for time series researchers and students. [Markdown](https://www.nixtla.io/researchers-and-students.md).
- [Responsible disclosure](https://www.nixtla.io/bug-hunters): Report security issues responsibly for Nixtla, TimeGPT, and the open forecasting ecosystem. [Markdown](https://www.nixtla.io/bug-hunters.md).
- [Book a free trial](https://www.nixtla.io/book-a-free-trial): Request a guided TimeGPT trial. [Markdown](https://www.nixtla.io/book-a-free-trial.md).
- [GenAI waitlist](https://www.nixtla.io/genai-waitlist): Request early access to Nixtla generative AI capabilities for time series analysis. [Markdown](https://www.nixtla.io/genai-waitlist.md).
- [Webinars and events](https://www.nixtla.io/webinar-events): Watch the recorded Nixtla Engine webinar and register for upcoming Nixtla sessions on time series forecasting. [Markdown](https://www.nixtla.io/webinar-events.md).
- [TimeGPT-2.1 waitlist](https://www.nixtla.io/timegpt-2-waitlist): Request early access to TimeGPT-2.1 forecasting and anomaly-detection capabilities. [Markdown](https://www.nixtla.io/timegpt-2-waitlist.md).
- [Nixtla dashboard](https://dashboard.nixtla.io): Interactive account, workspace, usage, and API-key management.
- [Service status](https://www.nixtla.io/status): Current and historical status for Nixtla services. [Markdown](https://www.nixtla.io/status.md).

## Optional

- [Complete LLM reference](https://www.nixtla.io/llms-full.txt): Extended instructions, API quickstart, every primary page, and blog metadata.