On Qwoted, you pitch the same queue as everyone. Medialyst finds your own.

It's important to be fair about what Qwoted's database is for.

Qwoted isn't trying to be a media database — it's a source-request marketplace, and its contact-database side is an explicitly beta, community-driven feature built from user-submitted entries. There's no systematic verification: contacts are confirmed manually, the size isn't disclosed (its own materials describe it as much smaller than paid tools), and it lacks the per-journalist insight — recent articles, beat depth — you'd expect from a research tool. That's an entirely reasonable design for a platform whose real product is the query feed, but it means you can't lean on it for accurate, proactive outbound. Medialyst takes the opposite stance.

Rather than maintaining a static, crowd-submitted inventory, it enriches journalists live at the moment you build a list — pulling recent articles, confirming the beat, and verifying the email in real time before it's ever shown to you. Coverage is global: any outlet, any journalist, any beat, with the unit of truth being a freshly-researched contact for your story rather than a row someone added to a beta directory. The practical result is fewer bounces and far less cross-referencing, because the list you receive was built and checked for the pitch you're sending today — not assembled by the crowd for whoever happens to need it.

Speed means two different things in these two models.

On Qwoted, “fast” means a journalist posts a query and you respond quickly — and the platform is structured so that the people who pay see and answer first. The free tier enforces a 2-hour delay on opportunities, which reviewers describe as making it nearly impossible for free users to compete; by the time you see a request, paid users may have already pitched it. Your speed is gated by other people's queries and your subscription tier. Medialyst's speed is different: you don't wait for anyone.

You paste a press release, a URL, or a topic, and the agent goes to work immediately — the average time from describing your story to a verified, scored journalist list is four minutes and thirty-two seconds. There's no demo gate and no contract. When a news story breaks and you have a timely angle, you're not refreshing a queue hoping a relevant query appears — you find your own opportunity and pitch the journalists you want, in minutes, while the window is still open. For teams that newsjack or simply move fast, owning that speed instead of renting it from a marketplace is the whole game.

This is where the two models diverge most.

Qwoted is a destination: you log into the marketplace, watch the query feed, and respond inside its dashboard on its terms. There's no public API or agent surface — you can't drive journalist discovery from your own tools, because discovery isn't really the product; the queue is. Recent features like Media Matcher (search journalists by topic) and Media Insights nudge toward proactive use, but they sit on the same community-sourced, unverified data and live inside the app. Medialyst is built agent-first.

A public REST API and a hosted remote MCP server mean you can run journalist discovery and enrichment directly from inside Claude, ChatGPT, or Cursor, wire it into your own scripts, or hand it to an internal agent. Custom enrichment columns let you ask research questions in plain language and get structured answers back across a whole list — something a fixed marketplace UI can't express. If your team is building AI-assisted workflows, Medialyst is a component you compose with, not a marketplace you have to keep checking.