Create a Morningstar investment research agent
Build a finance assistant that prepares Morningstar research for human review.
Read workflow guide →
Create investment research agents that organize Morningstar context into review-ready briefs.
Example outcome
Turn investment research context into a structured brief with comparisons, risks, assumptions, and follow-up questions.
Agent examples
3 guides
Build a finance assistant that prepares Morningstar research for human review.
Read workflow guide →
Build an investment research assistant that compares candidate funds for human review.
Read workflow guide →
Build an investment research workflow that checks fund or security analysis against trusted news and market event context.
Read workflow guide →
Morningstar workflows in LatchLoop help users organize fund and investment research into a concise human-review handoff. The agent can summarize available metrics, compare options, and highlight risk areas or questions that require deeper analysis.
A useful Morningstar agent should be framed as research support, not personalized investment advice. Ask it to separate data observations from interpretation, state assumptions, and identify which follow-up evidence a professional should review.
Use this overview to describe responsible workflow patterns while canonical plugin facts remain in the catalog. Morningstar pairs well with finance news, document, and task tools when research needs to become a memo or review queue.
Start with the investment research workflow below to create an agent that prepares comparison briefs for human decision-makers.
Combine plugins
Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Morningstar as one layer in a larger agent workflow when the outcome needs more than one connected app.
Available plugin capabilities
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