Daloopa x Model ML

Bring Daloopa’s trusted financial data into Model ML, so every output your team produces is source-linked and auditable.
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Connect Daloopa to Model ML

Why Teams Use Daloopa With Model ML

Depth and Breadth Across the Firm
With over 6,000 global tickers and up to 10x more data points per ticker than other providers, giving every team the coverage it needs.
Every Figure Traces to Its Filing
Each data point links back to the original SEC filing behind it, so a number can be checked in seconds instead of re-derived from scratch.
Structured for Scale
Consistently formatted data and aligned fiscal periods mean one query can run across multiple companies and return comparable answers.

Use Cases: Common Financial AI Workflows

Prompt naturally, and if it matches one of our 20+ Daloopa Skills — specialized instructions for financial workflows — it automatically runs to produce a reliable output.

Pitch Decks
Populate comps and company overviews with sourced financials and KPIs, so the numbers behind a pitch deck are ready before the deck itself is built.
Due Diligence Reports
Benchmark a diligence target against its closest public comps and pull the underlying financials straight into the report.
Investment Memos
Ground an investment memo’s peer benchmarking in sourced financials and KPIs, rather than pulling comps together by hand.
Portfolio Reviews
Track a portfolio position’s quarterly results against prior guidance as soon as new filings post, so reviews always reflect the latest numbers.
See How it Works

Connect to Daloopa Within Model ML in 3 Steps

Step 01

Add Daloopa as a Connector

In Model ML, navigate to Customize → Connectors, and then click Connect on the Daloopa tile.

Step 02

Authenticate Access

Log in and authorize access to your Daloopa data.

Step 03

Start Querying

Once connected, access Daloopa in Model ML to retrieve and analyze data across Daloopa's structured dataset.

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EXPLORE DALOOPA'S MCP

Want to learn more about how Daloopa powers AI workflows?

Daloopa’s MCP connects structured, source-linked financial data directly into the AI tools your team already uses.
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