The hard part of building on earnings call transcripts has never been finding them. Companies publish them, IR sites host them, aggregators repost them. The hard part is getting them in a shape your code can actually use — speaker-tagged, searchable across the whole corpus, delivered on a schedule, at a price that does not require a procurement cycle.

Most "best API" lists are written by whoever sells the API. This one is too, so read it with that in mind. What I can do is be specific about where we win and where we plainly do not — a list where every competitor is mysteriously worse at everything is useless to you.

Five criteria drove the ranking:

One ground rule: competitor descriptions here are deliberately qualitative, because prices and coverage change and a wrong figure would be worse than none. Check each vendor's current pricing page before you commit.

1. earningscalls.dev

Best for: developers and AI pipelines that need speaker-level structure and full-corpus search at a self-serve price.

The dataset is 253,000+ transcripts covering 12,799 companies across 175 exchanges in 70+ countries and all 11 GICS sectors, from 2020 to today. Every call is broken into speaker segments — 11.99 million of them — and each segment carries a role: Executives, Analysts, Operator, Attendees, Shareholders. That role tag is the difference between "search the transcript" and "search only what executives said" — it turns how did CFOs talk about pricing this quarter into one request instead of a text-parsing project.

Search runs across the whole corpus with phrase matching, AND/OR and negation operators, filterable by ticker, sector, date range and speaker role. Ingestion uses cursor-based incremental sync — GET /api/v1/transcripts/recent with since and after_id — so a nightly job pulls only what is new without re-walking the archive. There is also a native MCP server: Claude, Cursor and any other MCP client query the corpus with no glue code at all. Full schema is in the API docs.

Pricing is published: a free tier at 50 requests/month, Pro at $24.99/month for 5,000, Ultra at $39.99/month for 25,000, Enterprise at $299/month for 100,000 with transcript webhooks. Every transcript is also free to read on the website with no signup.

Where it fits: if you need the audio feed while the call is still happening, we are the wrong tool — we are a transcript API, not a live media platform. History starts in 2020, so multi-decade backtests are out. And we are not a research terminal: there is no broker research, no expert call library, no seat-based workflow for a team of analysts. We are a developer API and an MCP endpoint, priced accordingly.

2. Financial Modeling Prep

Best for: teams that want transcripts alongside fundamentals, prices and ratios behind a single key.

FMP is a broad financial-data suite where earnings transcripts are one endpoint family among many — financial statements, valuation ratios, price history, company profiles, calendars. It exposes transcripts several ways: fetch a specific call by symbol, quarter and year, list the available transcript dates for a symbol, enumerate which symbols have transcripts at all, and pull the latest across the market. If your product already needs income statements and price series, adding transcripts costs one more endpoint rather than one more vendor, one more contract and one more key to rotate.

Where it fits: the breadth is the point, and the depth per dataset reflects that. Transcripts arrive primarily as text with lighter speaker structure than a transcript-first vendor provides, so role-level analysis means writing your own parser. FMP has also carried several API generations in parallel — older v3/v4 paths alongside a newer stable namespace — so pin your endpoints deliberately and read the migration notes before you build against a legacy path. Check their current pricing page for tier limits.

3. Quartr

Best for: live coverage breadth across global markets and event types beyond the quarterly call.

Quartr is genuinely better than we are at two things. First, freshness: the platform is built around live events, with transcripts produced in near real time using speaker diarization and timestamps rather than published after the fact. Second, scope: alongside regular earnings calls they cover capital markets days, AGMs, M&A announcements, investor conferences and fireside chats, pairing transcripts with the slide decks and filings from the same event, across dozens of documented markets. If you are building a research platform that needs the whole event universe rather than just the quarterly call, Quartr is the strongest fit on this list.

Where it fits: it is aimed at bigger teams. There is no self-serve checkout for the API — pricing is sales-led and contract-based, which is fine for a funded platform and a poor fit for a solo developer testing an idea over a weekend. Transcripts are also English-only, which matters if your coverage ambitions run past the markets that hold calls in English.

4. Benzinga

Best for: real-time transcript delivery wired into a news feed.

Benzinga's conference call transcript API is built for speed. Beyond the REST endpoints it offers a WebSocket stream that pushes transcript content sentence by sentence as it is spoken, plus webhook notifications when a new transcript or revision lands. Transcripts carry solid metadata — ticker, CIK, ISIN, exchange — and speaker identification, and they sit next to Benzinga's news products, so if you already consume their newsfeed you get earnings commentary and the headline reaction from one pipeline with one key. For a trading or alerting product where the gap between "said" and "in my system" is the whole value proposition, this is the right architecture.

Where it fits: that architecture is also the cost. Streaming is more to build against than a nightly cursor sync, and it is overkill for retrospective analysis across many quarters. Pricing is quote-based rather than published; they offer a trial, so start there and confirm terms before you design around it.

5. API Ninjas

Best for: a working prototype this afternoon.

API Ninjas keeps the friction near zero. Sign up, get a key immediately, hit one clean endpoint with a ticker, year and quarter. Their catalog spans thousands of companies including delisted ones, with history reaching back well before most transcript APIs bother to go, and extra endpoints let you list available companies or search by speaker. Higher tiers layer enrichment on the raw text — participants, summaries, guidance extraction, per-speaker sentiment. For proving out an idea before you argue for a budget, it is hard to beat.

Where it fits: the tiering gates more than volume. History depth and the enriched fields sit on higher plans, and — the one to check carefully — their free tier is not licensed for commercial use. Prototype on it freely; read the terms before you ship. Our own free tier plays the same role, so this is a genuine head-to-head on convenience, not a competitor we can wave away.

6. Finnhub

Best for: teams that want call audio and the transcript from the same vendor as their market data.

Finnhub covers a lot of ground — quotes, fundamentals, estimates, alternative data — and transcripts are part of it, with audio links alongside the text and a live endpoint for calls in progress. Transcript history goes back considerably further than ours. If your application plays the call and shows the transcript in sync, sourcing both from one API is a real simplification.

Where it fits: transcripts and live call audio are premium endpoints, gated separately from the tiers covering general company data — including, at times, plans that otherwise read as all-inclusive. Developers regularly discover this after building against the free tier. Verify on the current pricing page that transcripts are in the specific plan you are buying, not adjacent to it.

7. Alpha Vantage

Best for: agents that need transcripts as one tool among many market-data tools.

Alpha Vantage is a general market-data API — equities, FX, crypto, economic indicators, technical indicators — with an earnings call transcript endpoint in its Alpha Intelligence family that returns a call by symbol and quarter, sentiment signals attached. The notable piece for agent builders is the official MCP server, so an assistant reaches transcripts and price data through one connector. If you are weighing that integration path, our comparison of MCP versus REST for earnings call data covers the tradeoff.

Where it fits: the transcript endpoint is a lookup, not a search. You fetch a known symbol and quarter; you cannot ask the corpus which companies discussed a given phrase. Free keys are rate-limited tightly enough that anything beyond experimentation needs a paid plan — check the current limits.

8. AlphaSense

Best for: research teams that need transcripts in context with filings, broker research and expert calls.

AlphaSense is not really an API competitor, and pretending otherwise would be dishonest. It is an enterprise market intelligence platform where earnings transcripts are one document class among filings, presentations, ESG reports, news, sell-side research and a large library of expert interview transcripts. Its search is genuinely excellent — Boolean logic, document-type and geography filters, company topic taxonomies, and the ability to query your firm's internal research next to external sources. For an analyst whose job is to read across sources rather than compute over them, nothing else on this list replaces it.

Where it fits: seat-based enterprise software with sales-led pricing, built for humans in a browser rather than for a cron job. No self-serve key, and the cost sits in a different category. If you need a data feed, this is not it — and if you need twelve analysts to stop missing things, an API is not it either.

How to choose

Map the requirement, not the feature list.

Most teams get this wrong in one direction: they buy a research platform when they needed a feed, or wire up a streaming API when a nightly sync would have done. Decide which you are first. The complete guide to earnings call transcript APIs and MCP works through the architectural question in detail, and the theme tracker walkthrough shows what a search-first pipeline looks like in practice.

If our shape fits, the fastest way to find out is one request:

curl "https://earningscalls.dev/api/v1/search?q=%22margin+pressure%22&type=speakers&speaker_type=executive" \
  -H "X-API-Key: $KEY"

That returns every executive segment across the corpus containing the exact phrase "margin pressure" — filterable by ticker, sector and date from there.

Related comparisons

Fifty requests a month are free, no card required. Start at earningscalls.dev.