Every earnings call transcript as structured JSON - speaker segments, full-text search, AI summaries and the earnings calendar. One REST endpoint, MCP support for AI agents, plans from $24.99/month.
No scraping, no PDFs, no enterprise sales call.
# 1. Scan a global watchlist for "agentic AI" mentions in Q1 2026
# → per-ticker mention counts across markets, in one request
curl -sG https://earningscalls.dev/api/v1/search/by_ticker \
-H "X-API-Key: ec_..." \
--data-urlencode 'q="agentic AI"' \
--data-urlencode 'tickers=NVDA,SAP,SHEL' \
--data-urlencode 'date_from=2026-01-01' \
--data-urlencode 'date_to=2026-04-30'
// example response · ~312 ms
{
"query": "\"agentic AI\"",
"tickers_scoped": 3,
"total_companies": 3,
"total_calls": 7,
"results_count": 3,
"results": [
{ "ticker": "NVDA", "company_name": "NVIDIA Corporation", "calls_matched": 4, "last_match_date": "2026-03-17T16:00:00.000Z" },
{ "ticker": "SAP", "company_name": "SAP SE", "calls_matched": 2, "last_match_date": "2026-04-23T21:00:00.000Z" },
{ "ticker": "SHEL", "company_name": "Shell plc", "calls_matched": 1, "last_match_date": "2026-02-05T14:30:00.000Z" }
]
}Four primitives that turn raw earnings calls into a clean dataset your strategy can consume.
Every segment pre-tagged. Five categories with verified counts: executive (826k), analyst (470k), operator (208k), attendee (33k), shareholder (4k). 93% carry the speaker's name.
GET /api/v1/speakers/:idSweep the live archive for phrases like "margin pressure" in one query. Boolean operators, exact phrases, ticker filters across global markets.
GET /api/v1/search?q=…Scan up to 500 tickers in a single request. Per-ticker counts, sector breakdown, last-match date — screen a global universe in one call.
GET /api/v1/search/by_tickerIncremental sync via since / after_id. Re-runnable, idempotent. New calls land within hours of the wire and flow straight into your pipeline.
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
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Full access for builders and traders
For production apps and teams
High-volume production workloads
Coverage, query semantics, and what the data supports.
Structured JSON for 247,000+ calls: complete transcripts, speaker segments tagged with name and role, AI summaries, company metadata with venue-suffixed tickers, sector/industry tags and the upcoming earnings calendar. Full schema in the API reference.
Pro is $24.99/month (5,000 requests), Ultra $39.99 (25,000), Enterprise $299 (100,000). Comparable providers charge $39 to $825/month for the same coverage. No annual lock-in, instant API key after self-serve checkout.
New transcripts land within minutes of the call ending; S&P 500 calls get AI summaries within the hour. Use cursor-based /transcripts/recent polling so your pipeline never misses a call.
Yes - the same subscription includes our earnings calls MCP server for Claude Desktop, claude.ai and other MCP clients, plus JSON that drops straight into RAG pipelines. Python users: see the Python quickstart.
Read every transcript free on the website, and try the API free via RapidAPI (50 requests/month). Details on the free access page.
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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