
Daloopa
AI extraction of financial data from filings into audit-ready Excel models.
About
Daloopa uses AI plus human analyst verification to pull structured financial data from 10-Ks, 10-Qs, and earnings transcripts across 6,000+ public companies, updating models within minutes of an earnings release.
Every data point hyperlinks to its source document, and an Excel add-in refreshes models with one click. In 2026 it launched Scout, an Excel-native AI assistant that builds and updates models from plain-language prompts, plus an MCP feed for LLMs. It is built for institutional equity teams, so pricing runs through sales rather than a public self-serve page.
What it can do
- AI extraction from filings and transcripts
- 6,000+ companies with 10+ years of history
- Source-hyperlinked, auditable data points
- Excel add-in with one-click refresh
- Scout AI modeling assistant
- MCP feed for LLMs
Setup
- Contact Daloopa sales for institutional access.
- Install the Excel add-in.
- Pull coverage for your watchlist companies.
- Use Scout prompts to build or refresh models in Excel.
- Optionally connect the MCP feed to your AI copilots.
Prerequisites
An institutional Daloopa subscription; Microsoft Excel.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Institutional focus — buy-side and sell-side equity research teams; Claims 99.9% accuracy with human analyst verification; every datapoint source-linked; Scout AI assistant launched September 2026; Anthropic partnership for LLM workflows. License: Proprietary enterprise; pricing via sales..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 3.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Institutional focus — buy-side and sell-side equity research teams
- · Claims 99.9% accuracy with human analyst verification; every datapoint source-linked
- · Scout AI assistant launched September 2026; Anthropic partnership for LLM workflows
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.