Frequently Asked Questions

General Questions

What is Hyperparam?

Hyperparam is a browser-based tool for exploring and debugging LLM logs, agent traces, and tool call records. It handles massive log datasets directly in your browser. An AI agent analyzes your data alongside you — ask it to find where users got frustrated, where tool calls failed, or where agents got stuck, and it will search your logs, add columns, build views, and surface the answers.

How is Hyperparam different from other data tools?

Key differentiators:

  • Browser-native: No installation or infrastructure required
  • Massive scale: Handle billion-row log datasets smoothly
  • AI-powered analysis: Ask questions about your logs in natural language
  • Streaming architecture: Connect directly to S3, GCS, or other cloud storage
  • Built for LLM logs: Designed for conversation logs, traces, and tool call records

What file formats does Hyperparam support?

Currently supported:

  • Apache Parquet (.parquet) — Full support with streaming
  • CSV files (.csv) — Full support with streaming
  • JSON Lines (.jsonl) — Full support with streaming

Do I need to install anything?

No, Hyperparam runs entirely in your web browser. Just navigate to hyperparam.app and start working with your data immediately.

Account and Access

Do I need an account to use Hyperparam?

You can explore data without an account, but you'll need to sign in with Google to access:

  • AI-powered features
  • Chat functionality
  • Workspace creation
  • Data persistence
  • Export capabilities

Is Hyperparam free?

Hyperparam has a free tier. Paid plans unlock higher usage limits, export, and collaboration:

  • Free ($0) - Import and explore with natural language
  • Basic ($20/mo) - Higher usage limits, export transformed datasets
  • Pro ($200/mo) - Highest usage limits, team collaboration, premium query tools

For large teams or regulated environments, see Hyperparam Enterprise.

How do I sign in?

  1. Click "Chat" or any AI feature
  2. Select "Sign in with Google"
  3. Authenticate with your Google account
  4. You're ready to use all features!

Is my data secure?

Yes! Security measures include:

  • HTTPS encryption for all transfers
  • User data isolation
  • No automatic sharing
  • Google OAuth for authentication
  • Enterprise-grade cloud storage

Data Loading and Storage

How do I load data?

Three methods:

  1. Drag and drop: For local files
  2. URL: Paste or click public URLs
  3. Chat discovery: Search and load datasets

Where is my data stored?

  • Signed out: Processed locally in browser only
  • Signed in: Uploaded to secure cloud storage
  • URLs: Streamed directly, not copied

Can I delete my data?

Yes, you have full control over your data. Delete files from your storage at any time.

Features and Functionality

What are the main features?

Core features:

  • AI agent: Analyzes your data alongside you, adding columns, building SQL views, and surfacing patterns you'd miss scrolling manually
  • Derived columns: The agent classifies failures, scores quality, and extracts fields across your entire dataset
  • SQL views: Filter, join, and project across log sources
  • Export: Save filtered results as Parquet, CSV, or JSONL

How does lazy computation work?

In table view:

  • AI computations happen on-demand
  • Only visible rows are processed
  • Scrolling triggers computation
  • Results are cached efficiently

This allows handling unlimited data without memory issues.

How do I create a workspace?

  1. Load any dataset
  2. Click "Edit data in workspace"
  3. Workspace opens with full processing, and you can create SQL views over the dataset to slice, filter, join, or project columns

Can I collaborate with others?

Currently, Hyperparam is single-user. Collaboration features are planned for future releases.

Technical Questions

Why use Parquet format?

Parquet offers:

  • Columnar storage for efficient compression
  • Streaming support
  • Strong types

Is there an API?

No, Hyperparam runs entirely in the browser.

Performance and Limits

Are there rate limits?

Each tier includes a monthly allowance of processed tokens. Hyperparam alerts you before you reach the cap. Upgrade to increase limits.

Export and Integration

How do I export data?

  1. Create a workspace with your dataset
  2. Create a SQL view that selects the rows and columns you want (chat can write the SQL for you)
  3. Open the view tab, click the ⋮ button, and choose "Write Table"
  4. Select export options (columns, max rows, file name)
  5. Export to storage

What export formats are available?

Currently:

  • Apache Parquet
  • CSV
  • JSON/JSONL

Troubleshooting

How do I report a bug?

  • Email root@hyperparam.app
  • Include steps to reproduce
  • Mention browser and OS

How do I stay updated?

Is Hyperparam open source?

Core libraries are open source:

The main application is proprietary.

Pricing and Business

How does pricing work?

See hyperparam.app/pricing for current plans. Each tier includes a monthly allowance of processed tokens. You can upgrade or cancel at any time.

Can I use Hyperparam commercially?

Yes, Hyperparam can be used for commercial purposes following the terms of service.

Still Have Questions?

Contact us at root@hyperparam.app

Frequently Asked Questions - Hyperparam