Turn agent-generated data into
reusable assets for your whole team

Let Codex, Claude Code, and Manus build datasets, update scripts, and create dashboards. GoalfyData hosts, refreshes, secures, and shares the results across your team and connected agents.

Explore examples

Connect GoalfyData to your agent

Get your Codex or Claude Code connected in about 20 seconds.

From a request to a reusable data asset

Let agents build the result, while GoalfyData keeps it available, up to date, and reusable.

Describe what you need

Describe the dataset or data app you need in plain language.

Agents build datasets and apps

Agents create data tables, update scripts, and ready-to-use dashboards.

GoalfyData preserves rules and relationships

GoalfyData preserves field definitions, governance rules, and table relationships for future use.

Keep data and apps in sync

Scheduled jobs automatically refresh the data and connected apps.

Share with teammates or agents

Share with teammates, customers, or other agents using controlled access.

Use GoalfyData in your agent conversations

The left panel groups real capabilities into four themes. Choose a scenario to see the request, the agent's actions, and the resulting data asset.

Connect in ManusOpen in new tab
Connected in minutes

Connect in Manus

Let Manus work with continuously updated datasets for reports and apps — no re-uploading files.

How it looks in Manus
You

/goalfydata

Agent

Need your action: Provide GoalfyData API Key Please go to GoalfyData to create an API Key: https://goalfydata.ai/settings ("Settings → API Key", in the format gfk_xxx. The plain text is only shown once upon creation, so please save it securely.) If you don't have a GoalfyData account yet, you can register at https://goalfydata.ai. Once created, please send the API Key to me, and I will continue to process it for you.

You

gfk_********

Agent

I've received your GoalfyData API Key and configured the environment. I explored your GoalfyData workspace — datasets here are structured assets independent of any single conversation, with import, deep analysis, scheduled sync, governance rules, and sharing built in, and they can be deployed as data apps. From here, just tell me what you want to do.

You

Take a look at the GoalfyData datasets I have — which one fits a continuously updated business report?

Agent

I'll go through the datasets you can access, compare their business scope, update method, and latest sync status, then recommend the best fit.

Agent

commerce_daily covers orders, refunds, and products, and it already syncs daily — a good fit for a continuously updated report. Would you like a one-off static report, or a live report app that refreshes as the data updates?

You

Make it a live report app tracking sales, refund rate, and fast-growing products. When the dataset updates each day, the report should follow.

Agent

Your live report app is ready. After each successful daily sync of commerce_daily, the app keeps reading the latest data from the same dataset — no re-uploading files or rebuilding the report. If a sync fails, the app won't get new data until the sync task is fixed.

Ready to keep your data assetsup to date and ready to use?