Neotask automates fundamental financial research through Daloopa - discovering companies, pulling clean time-series data, and surfacing analyst documents without manual data entry.
Financial models stay current without manual updates - your agent pulls structured fundamentals from Daloopa and refreshes your analysis automatically as new data becomes available
Company discovery happens at scale - your agent searches across Daloopa's universe and surfaces companies matching your financial criteria without hours of screening
Document research runs in parallel - your agent searches filings and research documents across multiple companies simultaneously, something no analyst team can match manually
What You Can Do
The Daloopa integration gives Neotask 4 financial data actions.
discover_companies - search and filter across Daloopa's coverage universe to find companies matching specific criteria
discover_company_series - explore the financial metrics and time-series data series available for a specific company
get_fundamentals_data - retrieve clean, structured financial fundamentals - revenue, margins, KPIs - for any covered company
search_documents - search across earnings transcripts, filings, and analyst documents for a company
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Find all SaaS companies in Daloopa's coverage universe with ARR between $100M and $500M"
"What financial series are available for Snowflake? Show me what Daloopa tracks"
"Pull 5 years of revenue, gross margin, and net revenue retention data for Datadog"
"Search for all documents mentioning 'net dollar retention' for Salesforce from the last 12 months"
Pro Tips
Use discover_company_series before get_fundamentals_data to know exactly which metrics Daloopa has for a company - then pull precisely what your model needs
Schedule quarterly model refreshes: your agent pulls updated fundamentals for your entire coverage universe after earnings season ends
Combine search_documents with your note-taking tool to automatically populate research notes with relevant transcript excerpts
Multi-agent teams excel for sector deep dives: each agent covers a different company in parallel, and a lead agent builds the comparative analysis
Multiple workspaces and capacity for larger teams.
Works Well With
Docker - Connect Daloopa and Docker with Neotask to automate financial data workflows, container deployments, and model updates i...
Google Chat - Connect Daloopa financial data extraction with Google Chat. Get earnings summaries, company financials, and analyst-read...
Linear - Connect Daloopa and Linear with Neotask to sync financial data into your engineering workflow and keep teams aligned on ...
Stripe - Connect Daloopa and Stripe with Neotask to automate financial data workflows, sync revenue metrics, and keep your models...
Zapier - Connect Daloopa and Zapier to automate financial data workflows, streamline investment data pipelines, and power faster ...
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