Agent repo
32 specialized research agents. Each is a typed unit of work in a research DAG, routed to the cheapest capable model at run time.
Company
Decomposes the research target into sub-questions and search queries.
Discovers candidate sources across web search connectors.
Runs web searches for the planned queries.
Summarizes recent news and momentum signals for the target.
Identifies competitors and positions them relative to the target.
Scores and ranks gathered sources by trustworthiness and relevance.
Extracts companies, people, products, and technologies as entities.
Reconciles all agent outputs into an executive summary and findings.
Writes the human-readable Markdown research report.
Technical
Fetches and extracts content from candidate pages.
Commits the research output to the connected GitHub repository.
Produces an overall score for a repo/target.
Fetches and extracts the full text of the top discovered pages.
Finance
Searches SEC EDGAR filings for the target (public companies).
Directional financial read (revenue/margin trends). Not filed data.
Rough valuation framing (comparables, drivers). Not investment advice.
Writes an M&A/investment memo in Markdown.
OpenSource
Searches GitHub for the target's repositories and activity.
Summarizes a repository's README and positioning.
Market
Infers hiring momentum and functional focus from signals.
Assesses market size, growth, and structure.
Builds entity/relationship triples for the knowledge graph.
Finds market reports and landscape sources.
Risk
Surfaces key risks with severity and rationale.
Flags conflicting claims across sources.
Legal
Validates that claims are backed by cited sources.
Reviews repository license and usage implications.
Discovers and filters to authoritative legal/regulatory sources.
SEO
Finds content gaps vs. competitors for SEO.
Clusters keywords into topic groups.
Crawls a domain sitemap to enumerate indexable pages.
Gathers search-engine result pages for target keywords.