ProspectAI is a multi-agent investment pipeline that researches sectors, scores companies across 7 dimensions, and produces a structured portfolio recommendation — all driven by a Draft → Critic → Final agent architecture built on Claude.
Hi Product Hunt!
I’m Moises, a Data & AI Transformation Leader who got tired of shallow stock screeners and decided to build something better.
ProspectAI is a multi-agent system that mimics how a professional analyst team works:
Research Agent — scans sectors and surfaces candidates using real fundamental data Draft Agent — scores each company across 7 dimensions (momentum, fundamentals, sentiment, risk/reward, and more)
Critic Agent — challenges every recommendation, flags R/R violations, and forces revisions
Final Agent — produces a clean, structured portfolio with position sizing and action states
Built on Claude + CrewAI, with a strict spec-driven architecture based on Openspec framework.
Why I built it: Most AI investing tools are wrappers around LLM chat. ProspectAI is an actual pipeline with deterministic rules, schema validation, and a critic loop — the kind of rigor you’d expect from a quant team.
Still early, but the pipeline runs end-to-end across Technology, Energy, Semiconductors, and Consumer sectors.
Check out the statistics page with live data about the performance of past recommendations.
Would love your feedback — especially from anyone who’s tried building agentic financial pipelines. What’s your biggest pain point?
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