Your project’s command center. Manage team access, API keys, model configurations, and data exports — all from one place.

General

Set up the basics for your project:

Project Name: Edit your project’s display name
Project ID: View and copy your unique project identifier (read-only)

Want to switch projects? Head to the Analytics Dashboard and click your current Project Name at the top of the left nav panel. A dropdown will reveal all your available projects — just pick one to switch instantly.

Members

See who has access to your project at a glance. This section shows Project Members and Project Admins — the people actively collaborating within this project. For each member, you can view:

Detail	Description
Name & Email	Member’s identity and contact
Role	Project Member or Project Admin
Access Level	Permissions granted within the project
Last Active	When they were last seen

Looking for Organization Owners? They won’t appear here. Head over to Organization Settings — Members to view and manage them.

Adding Members

Click “Add Members” to bring new collaborators into the project — search by name or email, select the members you need, and hit save. They’ll be notified right away.

API Keys

Your keys to programmatic access. Each API key listed here shows its name, prefix, creation date, last usage, and quick actions to edit or delete.

Creating a New API Key

Open Key Creation

Click “Create Secret Key” in the API Keys section.

Name Your Key

Give it a descriptive name so you can easily identify its purpose later.

Secure Your Key

Copy the generated key immediately and store it somewhere safe — the full key won’t be shown again.

Managing Existing Keys

Edit: Rename a key for better identification
Delete: Revoke access by removing keys you no longer need

Models

Keep tabs on every language model in your project. At a glance, you can track token consumption and cost of usage across all configured models.

Adding a New Model

Start

Click “Add Model” to begin.

Basic Information

Model Name: The name used in API calls and for tracking price changes.
Match Pattern: Define how this model matches incoming data using Postgres regex syntax.
- Example: (?i)^(modelname)$ for exact case-insensitive matching.

Configure Pricing

Add rate cards for the usage types that apply — input tokens, output tokens, caching, audio duration, or character count.

Managing Existing Models

Duplicate: Need a similar model? Duplicate an existing one and tweak the parameters and pricing to fit.

Contact Points

Decide where your alerts land — email inboxes, Slack channels, or both. Contact points are the destinations that get notified when something needs your attention.

Setting Up a Contact Point

Create

Click “Create Contact Point” to get started.

Pick a Channel

Choose how you want to be notified:

Email — alerts sent directly to specified addresses
Slack — notifications posted to your team’s workspace

Configure

For Email: Enter the recipient addresses
For Slack: Connect your workspace and pick a channel

Test & Save

Fire off a test notification to make sure everything works, then save your configuration.

Usage

See exactly how your project is performing. The Usage section gives you a real-time view of resource consumption through Span Analytics:

Metric	What it tells you
Total Spans	Overall volume of spans generated
Trends Over Time	How usage is changing day to day
By Instrumentation	Which instrumentations are driving the most activity
Performance	Key performance indicators at a glance

Integration

Integrations allow you to connect external services to your project for exporting and storing observability data generated by Netra. Once configured, these integrations can be used as destinations for scheduled exports, enabling long-term storage, external analysis, or compliance workflows outside the Netra platform.

Netra supports major cloud platforms for seamless integration with your existing infrastructure.

Supported Providers

Amazon Web Services (AWS)

Export data to Amazon S3 buckets with IAM-based authentication.

Google Cloud Platform (GCP)

Export data to Google Cloud Storage buckets with service account authentication.

Adding an Integration

Start Integration

Navigate to Project Settings → Integration and click Add Integration.

Select Provider Type

Choose your cloud provider:

Provider	Description
AWS	Amazon S3 storage with access key authentication
GCP	Google Cloud Storage with service account credentials

Configure Bucket Details

Enter your storage bucket information:

Field	Description	Example
Bucket Name	The name of your cloud storage bucket	`my-company-netra-exports`
Region	Geographic region where your bucket is located	`us-east-1` (AWS) or `us-central1` (GCP)

Provide Authentication Credentials

Enter your access credentials based on the selected provider:

Your credentials are secure. All access keys and secrets are encrypted using industry-standard encryption and stored securely. We never expose or log your credentials in plain text.

AWS Credentials

Field	Description
Access Key ID	Your AWS IAM access key identifier
Secret Access Key	Your AWS IAM secret access key

Minimum Permissions Required:

Permission	Resource
`s3:ListBucket`	Bucket ARN
`s3:PutObject`	Bucket objects
`s3:GetObject`	Bucket objects
`s3:DeleteObject`	Bucket objects

We recommend creating a dedicated IAM user with only these permissions scoped to the target bucket.

GCP Credentials

Field	Description
Service Account Key	JSON key file contents for your GCP service account

Minimum Permissions Required:

Role	Resource
`roles/storage.objectAdmin`	Target bucket

Create a service account with only the Storage Object Admin role scoped to the target bucket.

Save & Verify

Click Save Integration to store your configuration. Netra will verify the connection by testing bucket access.

Ensure your bucket has the correct permissions before saving. Integration verification will fail if Netra cannot write to the specified bucket.

Integration Listing

The Integration page displays all configured cloud storage connections:

Column	Description
Provider Type	The cloud provider (AWS or GCP)
Bucket Name	The target storage bucket name

Export

Configure automated data exports to send your observability data to external storage at regular intervals. Exports allow you to maintain long-term archives, integrate with data warehouses, or comply with data retention requirements.

Flexible Scheduling

Export hourly or daily based on your needs.

Multiple Formats

Choose JSON or CSV format for compatibility with your tools.

Historical Data

Optionally export your complete historical data on first run.

Creating an Export

Initiate Export

Navigate to Project Settings → Export and click Create Export.

Basic Configuration

Configure the fundamental export settings:

Field	Description
Export Name	A descriptive name to identify this export configuration
Destination Bucket	Select from your configured integrations

Select File Format

Choose the output format for your exported data:

Format	Best For
JSON	Data pipelines, programmatic processing, preserving nested structures
CSV	Spreadsheet analysis, SQL imports, business intelligence tools

Configure Export Frequency

Set how often data should be exported:

Frequency	Description
Hourly	Export data every hour
Daily	Export data once per day

Historical Data Option

Choose whether to include historical data:

Option	Description
Yes	Include all historical data from project creation in the first export
No	Only export new data from the export creation time onwards

Exporting full history may result in a large initial export depending on your project’s data volume. Subsequent exports will only include incremental data.

Set Path Prefix

Configure the folder structure for exported files:

Field	Description	Example
Path Prefix	Directory path within your bucket where files will be stored	`netra/exports/production/`

Resulting file path: s3://your-bucket/netra/exports/production/2026-01-29/traces_001.json

Review & Create

Review all settings and click Create Export to activate the export schedule.

Export Listing

The Export page displays all configured export jobs with the following information:

Column	Description
Export Name	The name you assigned to identify this export
File Format	Output format (JSON or CSV)
Path Prefix	Directory path within the destination bucket
Frequency	Export schedule (Hourly or Daily)
Status	Current state of the export (Active, Paused, etc.)
Created At	When the export configuration was created
Last Synced At	Timestamp of the most recent successful export

Get Started

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