Every S&P 500 call gets an AI summary with key metrics and topic sentiment within the hour. Pull them via API, ask Claude through MCP, or read them free on the site.
# Connect Claude Code to the earnings archive - one command
claude mcp add --transport http earningscalls \
https://earningscalls.dev/u/<your-token>/mcp
# Claude Desktop: Settings -> Developer -> Edit Config
{
"mcpServers": {
"earningscalls": {
"url": "https://earningscalls.dev/u/<your-token>/mcp"
}
}
}
# Then just ask:
# > What did NVIDIA say about data center demand last quarter?Use the MCP connector for zero-code access from Claude, or hit the REST API directly inside your own agents and pipelines.
Generate a personal, revocable connector URL from your dashboard, paste it into Claude Desktop or claude.ai, and query earnings data in plain English. 13 tools — search, speakers, summaries, ticker aggregates. Beta.
POST /u/<token>/mcpEvery transcript pre-split by speaker with role tags. Segments map 1:1 to embedding chunks — no recursive splitters, no overlap heuristics. Ticker, sector, role, and date ship with every chunk.
GET /api/v1/speakers/:idGoogle-style operators in the q param — exact phrase, AND / OR, negation. Filter by ticker, sector, country, or date before you embed a single token.
GET /api/v1/search?q=…Cursor-based since / after_id pagination. Idempotent and re-runnable — pick up new calls without duplicates and keep your vector store fresh as the corpus grows daily.
GET /api/v1/transcripts/recentChange the ticker, click Run, see the actual response.
GET /api/v1/search?q=agentic AI&type=speakers&speaker_type=Executive&ticker=NVDA&limit=5
Read for free. Automate when you're ready. Cancel anytime.
Full access for builders and traders
For production apps and teams
High-volume production workloads
MCP setup, RAG chunks, retrieval, and coverage.
S&P 500 calls are summarized within the hour of the transcript landing; transcripts themselves arrive within minutes of the call ending.
Yes - most customers do both: use our summaries for triage and pull full transcripts (speaker-segmented, RAG-ready) into their own LLM pipeline via the API. Our guide to analyzing earnings calls automatically walks through the setup; for the manual baseline, see how to read a transcript like a pro.
Currently the S&P 500 plus a historical backlog; the transcript archive itself covers 12,000+ companies across 70 countries. Coverage expands over time.
What research professionals say about the data and the API.
“Excellent service. Comprehensive coverage of the sectors I wanted and the API is very easy to work with. Highly recommend.”
“Transcripts are accurate, and the API is very user friendly.”
“Connecting Claude through MCP to analyze earnings transcripts has never been easier.”
From the team that brought you the Earnings Calls API - same clean data, same fair pricing.
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