AI
CompletedMarket Intelligence Agents
A multi-agent system that monitors public market signals, scores emerging trends and delivers a report to the team.
Report delivered4/4
The team receives a short, ranked report.
The problem
A trend is valuable before it becomes obvious, but nobody can watch every public source each day.
A single viral post is noise. Real demand shows up as growth across many independent sources.
My contribution
- Designed the pipeline: agents and official APIs collect, then deterministic code cleans, scores and stores.
- Built collectors for public sources.
- Added spending limits and health monitoring for paid data sources.
- Built an admin portal for settings and schedules.
Technical architecture
- Collection
- AI scout agents and API-based collectors
- Processing
- Deterministic code for relevance, deduplication and scoring
- Storage
- History that makes growth measurable
- Delivery
- Scheduled reports
Technologies
- Python
- AI agents
- SQLite
Highlights
- Automated daily monitoring
- Scoring done by deterministic code
- Spending limits on paid data
Details are generalized to protect confidential information. Company systems, customers, figures, source code and screens are not shown.