AI-powered financial analysis.
Signal endpoints combine structured fundamentals with large language models to produce DCF valuations, transcript summaries, moat assessments, and risk analysis. All Signal endpoints require a Pro plan.
Intrinsic Value
GET /v1/signal/{symbol}/intrinsic-value
Three-scenario DCF estimate (bear / base / bull) with growth assumptions, discount rate, and a suggested intrinsic value. The AI selects assumptions based on historical trends, sector comparables, and recent guidance.
Key fields
suggested_intrinsic_value— Anchor estimate per share, USDvaluation_low/valuation_high— Range across scenariosconfidence— HIGH, MEDIUM, or LOW based on data qualityanalysis_data.reasoning— Plain-English explanation of the callanalysis_data.key_drivers/risk_factors— Bulleted lists for use in agent context
Earnings Transcript Summaries
GET /v1/signal/{symbol}/transcript-summaries
AI-generated summaries of earnings calls. Each summary includes a narrative overview, revenue and earnings guidance, margin outlook, growth drivers, risk factors, management tone, and notable quotes.
Key fields
summary— One-paragraph overview of the callrevenue_guidance/earnings_guidance/margin_outlook— Forward statements distilledgrowth_drivers/risk_factors— Lists ready for downstream agent contextmanagement_tone— Sentiment label (e.g., cautiously optimistic)notable_quotes— Verbatim pulls worth surfacing to a user
Competitive Advantages
GET /v1/signal/{symbol}/competitive-advantages
Identifies the company's competitive moats and rates each one's durability. Useful for portfolio research and for prompting an agent to weigh long-term defensibility.
Key fields
advantages[].category— e.g., Ecosystem Lock-in, Brand Premium, Network Effectsadvantages[].description— Detailed explanationadvantages[].durability— strong, moderate, or weak
Investment Risks
GET /v1/signal/{symbol}/investment-risks
AI-identified risks that could impact stock performance, categorized by type and ranked by severity.
Key fields
risks[].category— e.g., Regulatory, Geographic Concentration, Product Cyclerisks[].description— Detailed explanationrisks[].severity— high, medium, or low
Methodology
Signal combines structured fundamentals (SEC filings, market data) with large language model analysis. DCF scenarios use historical trends, sector comparables, and recent management guidance. Transcript summaries process the full call text. Moats and risks are surfaced from filings, transcripts, and industry reports. Every AI-generated payload includes a last_updated timestamp.