Build on ExpandFi

Your data. Build anything.

Every ExpandFi plan comes with a production PostgreSQL warehouse — your Amazon and Shopify data cleaned, unified and ready to query, plus 85+ report layers on top. You get your own read-only credentials, the ExpandFi MCP, and the freedom to build whatever you imagine.

40+
unified tables
cleaned & deduplicated
85+
report layers
validated, on top
1
PostgreSQL database
production-grade
things to build
your keys, your rules

_ how it fits together

We do the hard part. You build on top.

We manage the pipelines, clean and deduplicate the data, convert currencies, calculate the metrics, and layer 85+ reports on top. What you get is a clean, trustworthy database — and a blank canvas.

It's like hiring an entire BI team — the data engineer, the analyst, and the data scientist — for a fraction of one salary. We already did their hardest work.

_ we handle the hard part

  • Managed pipelines from Amazon, Shopify & more
  • Cleaned, deduplicated & normalized
  • Currency conversion & metric calculations
  • 85+ pre-built report layers

WHAT YOU BUILD

DashboardsAI assistantsSlack alertsNotebooksBI toolsCron exports

YOUR EXPANDFI DATABASE · PostgreSQL · read-only

40+ tables85+ reportsFull historyYour credentials

EXPANDFI DOES THE HARD WORK

PipelinesCleaningDedupNormalizeCurrencyAnalytics

YOUR SOURCES

AmazonShopifyAmazon Ads

_ the schema you get keys to

40+ tables. Your whole business, already joined.

Not a black box — a real, documented Postgres schema. Every table below is yours to query, with a plain-English description of what each row means.

Sales & Orders5
salesamazon_ordersshopify_ordersaggregate_salesfulfillments
Customers & Cohorts5
customerscohortscohorts_customerssubscription_customer_metricstrends
Profit, Fees & Settlements6
profitssale_feessale_profitability_metricscost_of_goods_soldsamazon_settlement_reportsamazon_settlement_report_summaries
Advertising3
amazon_ads_campaign_dataamazon_ads_raw_dataad_campaigns
Promotions & Subscribe & Save8
promotionspromotion_performancessales_promotionscustomers_promotionscoupon_performancesamazon_promotionssns_coupon_reportssns_settlement_discounts
Brand Analytics4
brand_analytics_search_query_performancesbrand_analytics_search_termsbrand_analytics_market_basketsbrand_analytics_repeat_purchases
Sales & Traffic2
sales_and_traffic_reportssales_and_traffic_by_asin_reports
Catalog & Inventory3
asin_skusasin_brandsfba_inventory_ledger_summaries
Refunds & Returns2
refundsshopify_refunds
Planning & Connectors2
cac_plan_summariesconnectors

_ database credentials

Real credentials. Real database access.

Connect any tool

Your read-only Postgres credentials work with psql, Python (pandas / psycopg2), Tableau, Metabase, Looker, Hex, Jupyter, even Excel. If it speaks SQL, it connects.

Read-only & safe

Credentials are read-only, so nothing you run can ever change or break your data. Query the whole history as hard as you like.

The full schema, documented

Every table ships with a plain-English description of what each row means and how they join — sales to customers to fees to refunds to promotions.

_ you build whatever you want

We did the hard part. Now go build something cool.

Seriously — build on top of us. The pipelines, cleaning and math are done, so the fun part is all yours. Query it, wrap it, or automate it. Show us what you make.

AI IN YOUR DATA

The ExpandFi MCP, included

Point Claude, Codex, or any MCP client at your warehouse and ask in plain English. It reads your tables and 85+ reports — and pulls live source data with ExpandFi Dash.

YOUR OWN INTERFACE

Build a custom MCP or API

Wrap your warehouse in your own MCP server or internal API and give your team, your tools, or your own agents a governed way in.

ON A SCHEDULE

Cron any pull you want

Schedule a job to pull whatever you need on whatever cadence — nightly exports, morning Slack digests, a warehouse-to-warehouse sync — and build automated workflows on top.

_ questions people ask

Frequently asked questions.

Is it read-only, or can I write to it?+
Read-only. Your credentials cannot change or delete anything, so you can query the whole history as hard as you like without any risk to your data.
I'm not technical. Is a data warehouse overkill for me?+
Not at all, and you never have to touch SQL if you don't want to. Ask questions in plain English through the MCP, or point any no-code BI tool at it. What you're really getting is the hard part already done: clean, processed, continuously updated data you can actually trust for decisions, not a one-time export you have to maintain yourself. No engineering degree required.
I have a data team. Is this deep enough for serious analysis?+
Yes. It's a real PostgreSQL database, so your team can run any SQL, connect Tableau, Metabase, Looker, Hex or Jupyter, build dashboards and internal tools, wrap it in your own MCP or API, and schedule cron jobs. Every table is documented and already joined for you. Easy enough for a founder on day one, deep enough for a data scientist.
How is this different from connecting Claude or a BI tool straight to the Amazon and Shopify APIs?+
Two reasons: setup and data quality. Wiring the raw APIs yourself means a private-developer registration and review for Amazon SP-API, a separate Ads API approval, an AMC instance on AWS, and a Shopify custom app, each with its own tokens to manage. Then the raw data is often stale, duplicated or scoped to the wrong marketplace, so you would be scheduling pulls, catching failed reports, deduplicating and verifying completeness before anything is trustworthy. We do all of that for you and hand you a clean, joined PostgreSQL schema, with Amazon and Shopify already unified and 85+ reports layered on top.
What database is it, and how do I connect?+
A standard PostgreSQL database. Connect any SQL-speaking tool with your read-only credentials: psql, Python (pandas / psycopg2), Tableau, Metabase, Looker, Hex, Jupyter, even Excel.
Can I build my own tools, MCP, or cron jobs on top?+
Yes — that is the point. Build dashboards and internal tools, wrap your warehouse in your own MCP server or API, and schedule cron jobs to pull whatever you need on whatever cadence.
How many tables are there, and what is in them?+
40+ business tables plus 85+ report layers, spanning sales, customers, cohorts, profit, fees, advertising, promotions and more — each documented in plain English so you know what every row means.
Is it included?+
Yes. Your data warehouse and the ExpandFi MCP are included with every plan, from $97/mo.

Your imagination is the limit. Our platform is the foundation.

A production Postgres warehouse and the ExpandFi MCP are included with every plan.