GitDealFlow Signal Agent

Return the top 20 startups ranked by engineering acceleration across all 20 sectors for the current weekly period. Each row includes commit velocity, contributor count, signal classification, and GitHub URL.

Return every tracked startup within a sector, ranked by engineering acceleration for the current weekly period. Common slugs: ai-ml, cybersecurity, developer-tools, healthcare, climate-tech, enterprise-saas, data-infrastructure, web3, robotics, edtech, ecommerce-infrastructure, supply-chain, legal-tech, hr-tech, proptech, agtech, gaming, space-tech, social-community. The active list rotates weekly — call get_signals_summary first for the canonical set, or pass an unknown slug to receive `availableSectors` in the error payload.

Return the full engineering-acceleration profile for a single tracked startup: commit velocity, velocity change, contributor count and growth, new-repo count, signal classification, sector, stage, geography, and GitHub URL. Matching is case-insensitive and accepts display name or GitHub org slug.

Return a high-level snapshot of the dataset: current reporting period, active sectors, total startups tracked, last-refresh timestamp, update frequency, citation string, and direct URLs to every data format (JSON, CSV, RSS, OpenAPI, llms.txt).

Return the methodology behind the signal: how startup engineering activity is sourced from public GitHub, how commit velocity and contributor-growth metrics are computed, how signal types ('breakout' | 'acceleration' | 'steady' | 'cooling') are classified, refresh cadence, and known limitations.