Earnings Intelligence

SEC filings, transcripts, and management sentiment tracking.

What it does

Query financial disclosures, SEC filings, and quarterly earnings call transcripts. Track management sentiment, executive commentary, and analyst divergences.

Orchestration pipeline

  1. SEC disclosure retrieval and parsing
  2. Earnings call transcript semantic matching
  3. Quarter-over-Quarter strategy pivot detection

Example

Query: "Walmart Q1 earnings call biometrics"

Returns structured key themes from earnings calls including executive commentary, analyst reactions, and source references. Example output identifies theme "Biometrics and checkout automation" with executive commentary: "We are accelerating local delivery automation and scanning sensors in major metros." Analyst reaction: "Favorable, though margins remain a focus area." Source: Q1 Earnings Transcript pg 14.

Integration

MCP Tool: get_earnings_intelligence()

Arguments: company: "Walmart", period: "2026-Q1"

REST Endpoint: POST /v1/supplemental/context

Add Fodda as an MCP server. Once configured, your AI model can dynamically trigger get_earnings_intelligence() whenever the context warrants.

Unauthenticated requests will trigger an MPP challenge (HTTP 402), allowing inline agent-wallet settlement.

Zero-Onboarding via MPP

Consuming agents do not require pre-provisioned keys. Endpoints challenge unauthenticated bots with HTTP 402, allowing automatic Stripe link settlement.