PLATFORM
Workspace
Your central hub for managing datasets and accessing all platform features.
Overview
Understanding Cension's main interface and how to navigate your data.
The Workspace is your primary interface for working with data in Cension. When you open any dataset, you enter a familiar spreadsheet-like environment enhanced with powerful AI capabilities and automation tools.
- Table view + details panel: Spreadsheet editing with a row details side panel so you can inspect and update records without losing context.
- Tab bar: Switch between Workspace, Operations, Import & Export, Automate, and Settings for the current dataset.
- Context-aware controls: Model selector, filters, and saved views keep scope aligned to the dataset and project you're in.
Table controls
- Generate data: Split button to run Horizontal/Vertical processing on selected or full datasets.
- Model selector: Pick the AI model for current work without leaving the table.
- Search: Filter quickly by column value from the toolbar.
- Column actions: Rename, delete, or change column types inline.
- Status indicators: Row-level states for generating/completed/failed keep progress visible.
Smart filters & saved views
Build layered filters and save them for quick recall.
- Filter types: Text (contains/starts/ends/is empty), numbers (>, <, =), status (done/partially done/not done), nested JSON via dot notation.
- Saved views: Store combinations like “Pending Review” to jump between workflows.
- Re-use: The same saved filters can power exports and automation scopes.
Navigation essentials
Move between organizations, projects, and datasets without breaking your flow:
- Organization selector: Top-left control to switch organizations.
- Project selector: Jump between projects or create a new one with the + icon.
- Dataset picker: Choose the dataset/feed you want to work on; everything else on the page follows that selection.
Whether you're performing quick data cleanup, setting up complex automation pipelines, or monitoring AI processing at scale, the Workspace keeps all controls and history scoped to the dataset you've selected.
Import & export
Bring data in, regenerate feeds, and share results externally.
Use this tab to load data and distribute it. Imports keep datasets current; exports publish clean feeds to other systems.
Import options
- File upload: CSV, Excel, Google Sheets for append/replace flows.
- URL imports: Sync live CSV/XML feeds on a schedule.
- From scratch/empty: Generate new datasets with AI or create empty containers for API population.
Exports & feeds
- Formats: CSV, XML, JSON (and more in exporting docs).
- Field mapping: Rename columns to match destination schemas.
- Saved filters: Reuse Workspace filters to control what ships.
- Auto-regenerate: Chain exports to refresh after imports complete.
Automation
Set up intelligent automation to keep your data fresh and processes running.
Cension automates routine data work so your datasets stay current. Choose the automation type that matches what you need to refresh or enrich.
| Automation | Best for | Trigger cadence |
|---|---|---|
| Import sync | Scheduled updates from external feeds | 15m, hourly, daily, or manual; can auto-regenerate exports |
| Auto-process | Instant AI enrichment for new rows | On new rows via imports/API with daily limits |
| Dynamic updates | Refreshing time-sensitive columns | Column-level intervals (e.g., 15m prices, daily metrics) |
| Auto-discover | Appending new items via AI crawling | Targeted monitoring of product/news pages |
Import sync
Keep data fresh with scheduled feed updates. Configure recurring imports and optionally chain automatic export regeneration after successful runs.
Auto-Process
Transform new data instantly with your AI workflow rules. Apply daily processing limits to control credit use while letting enrichment run hands-free.
Dynamic updates
Refresh only the fields that age quickly. Perfect for prices or social metrics that need predictable refresh intervals without reprocessing everything.
Auto-Discover
Grow datasets automatically with AI-powered web scraping. The crawler focuses on relevant pages, avoids spam routes, and extracts structured values for new rows.
Monitoring & alerts
- Operations tab: Real-time history of automation runs with status, progress, and logs for failures.
- Notifications: Optional alerts for critical failures so you can fix issues without constant manual checking.
Operations
Monitor all background processes and AI workflows running on your dataset.
The Operations dashboard is mission control for everything running in the background—enrichment jobs, imports, exports, and automation runs.
What you can track
- Enrichment runs: Horizontal/vertical processing with live progress.
- Imports & exports: File ingestion, feed regeneration, and API pushes.
- Automation: Scheduled jobs like syncs, crawls, and auto-processing.
| State | Meaning |
|---|---|
| Processing | Live progress bar with ETA; safe to navigate away while it runs |
| Completed | Successful run with duration and throughput metrics |
| Failed | Errored job with detailed logs for debugging |
| Cancelled | Manually stopped before completion |
Audit logs
Toggle Audit view to see row-level history: who changed what and when, whether edits came from a user or an automated process.
Use these views to troubleshoot quickly, prove compliance, and keep stakeholders informed without hunting through individual jobs.
Settings
Configure dataset-specific preferences and automation options.
Settings keep each dataset aligned to your data quality, integration, and compliance requirements.
Data handling
- Web scraping: Enable AI-powered enrichment from external sources when you need continuous context.
- Field mappings: Control how columns appear in exports and APIs.
- Validation rules: Set quality checks that block bad data before it leaves the workspace.
Integrations & limits
- Integration settings: Configure connections to external systems and export destinations.
- Performance controls: Adjust limits for processing throughput to balance speed and spend.
- Export chaining: Pair imports with auto-regenerated exports to keep downstream feeds in sync.
Privacy, compliance, and monetization
- Audit mode: Gate AI-generated content for human review before it reaches exports.
- Compliance logging: Keep retention and visibility settings aligned to your industry requirements.
- Monetization (coming soon): Prepare visibility and revenue-sharing options for marketplace distribution.
Audit mode
Review and approve AI-generated content before it goes live.
Audit mode keeps AI-generated data in a pending state until a human reviewer approves it, ensuring only verified content reaches exports and feeds.
- 1. Generation: AI creates content based on your workflow rules.
- 2. Pending queue: New items are held for review rather than going live.
- 3. Human review: Team members approve or disapprove, making edits when needed.
- 4. Export gating: Only approved items flow to REST API exports and feeds.
Enable audit mode
- Open Settings for the dataset and toggle Audit Mode.
- Understand impact: Existing approved texts move to Pending to restart review.
- Coordinate reviewers: Assign who will work through the queue.
Status indicators
- Pending: Needs review (orange).
- Approved: Verified and live (green).
- Disapproved: Rejected but retained for reference (red).
Best practices
- Pair with automation: Let auto-process enrich data, then batch-review once a day.
- Use for compliance: Maintain a human-in-the-loop trail for regulated content.
- Iterate fast: Edit inside the queue before approving to avoid extra runs.