earningswhispers

Extract earnings call transcripts from the EarningsWhispers public API.

173|28|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/gauss314/skills --skill earningswhispers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earningswhispers
Source: https://github.com/gauss314/skills/tree/main/skills/earningswhispers
Command: npx skills add https://github.com/gauss314/skills --skill earningswhispers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl_cffi, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the difficulty of accessing reliable, structured earnings call transcripts for global companies without navigating complex anti-bot protections or paywalls.

Core Features & Use Cases

  • Global Coverage: Access transcripts for over 33,500 global stocks, including US, European, Asian, and Latin American markets.
  • Structured Data: Retrieve clean JSON data containing prepared remarks, Q&A sections, and speaker mappings.
  • Use Case: Financial analysts can use this to automate the collection of quarterly earnings call transcripts for a portfolio of ADRs or international stocks to perform sentiment analysis or executive summary generation.

Quick Start

Use the earningswhispers skill to fetch the latest earnings transcript for the ticker GGAL.

Frequently Asked Questions about earningswhispers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get earnings call transcripts for global stocks via API?

Earnings call transcripts are text records of corporate quarterly financial updates. This Skill retrieves them in structured JSON format, including prepared remarks and Q&A segments, allowing analysts to automate financial research and sentiment analysis for global public companies.

Does the curl_cffi library support non-authenticated HTTP requests for financial data?

This Skill extracts earnings call transcripts by performing non-authenticated HTTP requests to the EarningsWhispers public API using the curl_cffi library. It returns clean JSON data containing prepared remarks and Q&A segments for global public companies.

Can I automate fetching earnings transcripts for international stocks and ADRs?

Yes, this Skill can fetch earnings transcripts for over 33,500 global stocks, including US, European, Asian, and Latin American markets. You can automate data retrieval for a portfolio of international stocks to generate executive summaries or perform sentiment analysis.

What is the best way to extract Q&A sections and prepared remarks from earnings calls?

The best way to extract Q&A sections and prepared remarks is to use this Skill to request the EarningsWhispers public API. It returns structured JSON data that separates prepared remarks from Q&A sections and includes speaker mappings for global public companies.

Are there limitations when accessing earnings transcripts without authentication?

The main limitation is that access depends entirely on the EarningsWhispers public API endpoint availability and the target company having a recent earnings call. The curl_cffi library handles HTTP requests efficiently but is constrained to the data exposed by the endpoint.