Account

Account

Manage your profile, organization, billing, usage, and storage.

Settings

Control user profile, organization roles, members, and shared assets.

Access your user settings, manage organization membership, and keep shared assets like API keys aligned to your team.

User settings

View account info: See your email and login type (Google or password).
Change password: Update credentials for password-based logins.
Delete account: Permanently remove your personal account and data.

Organization roles

Owner: Full control; manages billing and organization settings; cannot be removed.
Admin: Manages organization resources; can invite/remove members; no billing deletion.
Member: Create/edit datasets and view organization resources; cannot manage users, billing, or API keys.

Members

Invite: Send member invites from Settings > Members via email.
Remove: Revokes access immediately while preserving datasets within the workspace.

Organization assets

API keys: Shared organization token in Settings > API keys. View, copy, or regenerate as needed.
Static parameters: Define global constants (e.g., tone of voice) in Settings > Static parameters for consistent AI outputs.

Billing scope

Subscriptions, credits, and limits are set at the organization level. All projects within an organization share the same plan and quotas.

Pricing & subscription

Plan options, what they include, and how billing works.

Choose the plan that fits your usage. Annual billing can reduce overall cost by up to 20%.

FREE (Starter): $0/mo; browse and explore library datasets; preview capabilities.
PRO (Growth): $25/mo; includes 10,000 credits; custom datasets, full library access, hourly feed updates, web scraping, API access, multi-language support.
BUSINESS (Scale): $200/mo; includes 100,000 credits; everything in PRO plus minutely feed updates, priority API requests, dedicated support.
ENTERPRISE: Custom pricing; custom data connectors, feature requests, and volume discounts.

Billing management

Invoices: View and download your billing history from the Subscription tab.
Manage in Stripe: Open the secure portal to update payment method, billing address, or tax details.

Usage & limits

Track consumption and control spending.

The Usage dashboard shows included credits, on-demand spend, reset dates, and detailed event history so you can stay ahead of costs.

Usage dashboard

Included credits used: Monitors consumption against your monthly allowance and shows reset date.
On-demand usage: Tracks overage spend when you exceed included credits.
Usage logs: Export CSV with date, user email, model used, type, and credits for each event.

Spending controls

On-demand toggle: Disable overage processing entirely if you want to stay within plan limits.
Spending limit: Set a hard cap for monthly overage; automation pauses when the limit is reached.
Daily processing limits: Apply per-dataset daily limits for auto-process jobs to control credit drawdown.

Storage

Manage your file library for imports and references.

Use Storage to upload, preview, and manage files that power imports, references, and workflows.

Files list: View name, upload date, type, and size for stored assets.
Upload: Add CSV, PDF, images, and more from your device.
Preview: Open images or read text file contents directly in the app.
Refresh: Manually update the list to see new uploads.

Credit system

Complete guide to AI model costs, pricing, and spending management in Cension.

Every time you run a workflow in Cension, you're choosing from a range of AI models provided by different companies like OpenAI, Google, and Anthropic. Each model has different strengths, capabilities, and costs. Understanding how this system works helps you make smart choices that balance quality, speed, and budget.

Model pricing table

Here's a complete list of available AI models with their pricing parameters:

Model	Base multiplier	Input block tokens	Output block tokens
gemini-2.5-flash	4	2000	180
gemini-2.5-flash-lite	1	800	160
gpt-4o	4	1000	80
gpt-4o-mini	3	1800	160
gpt-5	4	3300	180
gpt-5-mini	3	3000	200
gpt-5-nano	1	2400	180

How model selection works

When you click the AI model selector in your workspace toolbar, you see a dropdown organized by provider. OpenAI models appear first, followed by Google and Anthropic options. Each model entry shows its name, a credit cost multiplier, and a brief description of what it's good at.

The credit multiplier is the key number to pay attention to - it tells you how much this model costs relative to others. A model with '3x' costs three times as much per operation as a '1x' model. This multiplier reflects the model's capabilities and the computational resources it requires.

Block-by-block charging

Cension charges based on actual token usage, but in 'blocks' rather than raw tokens. Each model has defined token limits for input and output, and you get charged based on how many of these blocks you consume.

Each model has `input_block_tokens` (e.g., 2000) and `output_block_tokens` (e.g., 180) limits
Your actual usage gets divided by these limits and rounded up
Input blocks + output blocks = total blocks used
Total blocks × model's multiplier = credits charged

Example calculation

If a model has 2000 input tokens and 180 output tokens per block, with a 3x multiplier:

Using 3500 input tokens = CEILING(3500 ÷ 2000) = 2 input blocks
Using 400 output tokens = CEILING(400 ÷ 180) = 3 output blocks
Total blocks = 2 + 3 = 5
Credits charged = 5 × 3 = 15 credits

This system means costs scale with actual usage while staying predictable. Larger requests consume more blocks, but you never pay for tokens you don't use.

Choosing the right model

Different models excel at different types of work. Here's how to think about your options:

Managing costs effectively

Since costs depend on actual token usage divided into blocks, you have several levers to control spending:

Remember that Deep Search doubles all credit costs, so use it strategically for only the most demanding research tasks.