Gigasheet
Your business runs on massive datasets that traditional spreadsheets cannot handle. Your AI agent queries Gigasheet's billion-row sheets, appends new records from customer conversations, exports filtered datasets on demand, and shares results with team members. Big data becomes accessible through natural language, not pivot table expertise.
Query, update, export, and share datasets with millions of rows. Your agent bridges the gap between massive data and the people who need answers from it.
Gigasheet
See how teams use AI agents to interact with billion-row Gigasheet datasets through natural language, replacing manual exports, complex filters, and spreadsheet gymnastics.
A VP asks 'Can you pull all West Coast sales above $10K from Q4?' Your AI Agent translates this into Gigasheet filter criteria, initiates an export with the appropriate column filters, and returns a download link when ready. The VP gets their report within minutes without learning filter syntax or opening a billion-row file. Data team saves time on ad-hoc report requests.
During a customer survey call, your AI Agent collects responses, NPS scores, and feedback comments, then appends each record to a Gigasheet dataset by column name in real time. At the end of the day, your research team opens a fully populated spreadsheet with hundreds of new entries. Zero manual transcription, zero data-entry errors, and every response timestamped automatically.
A marketing analyst needs access to the customer segmentation dataset owned by the data team. They message the AI Agent with the request. The agent looks up the file handle, shares it with the analyst's email at view-only permission level, and confirms access. No IT ticket, no waiting for admin approval. The analyst starts exploring the data within minutes of asking.
Gigasheet
FAQs
Gigasheet supports datasets up to one billion rows in a single sheet. Your agent can retrieve metadata, list columns, and initiate filtered exports on datasets of any size. The platform handles the heavy lifting in the cloud, so the agent's query performance stays consistent regardless of dataset scale.
Yes. The agent uses Gigasheet's append-by-name endpoint, which accepts records as column-name/value pairs. No need to know column IDs or indices. The agent maps conversation data to column names and inserts rows in real time. Multiple records can be appended in a single call.
The agent initiates an export with optional filter criteria using Gigasheet's Filter Model. The export processes asynchronously. Once complete, the agent retrieves the download URL and provides it to the requester. Exports respect all applied filters, so you get exactly the subset you asked for.
Gigasheet accepts CSV, XLSX, JSON, and other common data formats. The agent can upload data from a URL using the upload-url endpoint or import from AWS S3 using the connector import feature. Each import creates a new sheet that is immediately queryable.
Yes. The share-file endpoint accepts email addresses and permission levels. The agent can grant view-only or edit access to specific team members. This works for internal data sharing requests and prevents over-permissioning by defaulting to the minimum necessary access level.
Tars interacts with Gigasheet in real time through API calls. Dataset metadata, column definitions, and export URLs are fetched on demand during conversations. Tars does not maintain a copy of your Gigasheet data. The authoritative data stays in Gigasheet's cloud platform.
Yes. The combine-by-name endpoint merges multiple files using a shared column as the join key. The agent takes file handles and the column name, initiates the merge, and returns the resulting combined dataset. This is useful for joining quarterly reports, merging regional datasets, or consolidating data from different teams.
The web interface requires navigating menus, applying filters visually, and understanding spreadsheet operations. Tars lets anyone interact with Gigasheet through natural language. A VP who has never opened a spreadsheet can request 'Show me top 100 customers by revenue' and get results. It democratizes access to big data without training users on the platform.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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