Public Beta

Earnings call transcripts,
structured & agent-ready

Multi-source transcripts with speaker attribution, Q&A splitting, and quality scoring — aggregated from SEC filings, IR pages, and third-party providers into clean, structured JSON.

📖 API Docs 💰 Pricing

Transcripts

Companies

Free Tier

< 4hr

Filing → API

Built for agents, not terminals

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Multi-Source

Aggregated from SEC EDGAR filings, company IR pages, and FactSet transcripts. We do the hard work of sourcing and normalizing so you don't have to.

🤖

Agent-Native

Clean JSON with speaker attribution, section splitting, and token estimates. Designed for LLM consumption.

⚡

Fast Availability

New transcripts processed within hours of publication. Multiple collection pipelines run in parallel.

🔍

Structured Sections

Prepared remarks and Q&A separated automatically. Speaker names, roles, and analyst firms extracted.

📊

Quality Scored

Every transcript includes a parse confidence score. Low-quality parses flagged for transparency.

💸

10-100× Cheaper

Free tier with 50 retrievals/month. Pro at $99/mo. No $24K terminal subscriptions.

Clean JSON, every time

GET /earnings/api/transcripts/CHGG/

{
  "ticker": "CHGG",
  "company_name": "Chegg, Inc.",
  "filing_date": "2025-05-12",
  "fiscal_quarter": "Q1",
  "fiscal_year": 2025,
  "sections": {
    "prepared_remarks": [
      {
        "speaker": "Nathan Schultz",
        "role": "President and CEO",
        "text": "Thank you. Good afternoon..."
      }
    ],
    "qa": [...]
  },
  "word_count": 8240,
  "token_estimate": 10300,
  "metadata": {
    "source": "edgar_8k",
    "quality_score": 0.92
  }
}