Most listening tools are still reading. Podcasts, broadcast, web TV, and social media platforms are where narratives actually start, and that layer has been one of the bigger blind spots on the machine-readable internet.

We've spent years building independent infrastructure to bring transparency to it. Today, that infrastructure opens up further with a new MCP server alongside our API.

The UI is for humans, the API is for systems, and the MCP server is for agents.

Built for transparency in spoken media

Around 50,000 hours of audio every day, across podcasts, social media platforms, broadcast, web TV, and other spoken sources in multiple languages.

What comes out of that is a continuously updated layer of structured observations, signals, and insights, built independently and made for machine consumption. The API and MCP server are how teams reach it.

Build with the API

Programmatic access to our structured spoken media signals.

Monitor. Continuous, real-time tracking with sentiment, topic, and reach. Start retroactively, work with live and earlier observations on the same query. Wire it into Slack, Teams, Looker, Tableau, HubSpot, Salesforce, or whatever your team already runs on.

Search. Point-in-time queries against our observations. Map how a narrative evolved. Compare share of voice before, during, and after a launch. Build internal insight apps that surface our signals inside your own tools.

Connect with MCP server

Built on the open Model Context Protocol standard. Connects to every leading AI platform and agent framework. Once it's in, agents query All Ears the way they query a calendar.

What teams build with it:

Brand and competitor research "How are we being talked about on health and wellness podcasts this quarter?" Answered without leaving the AI tools your team already uses.

Financial signals Live data streams tracking volume and sentiment shifts on tickers, sectors, and macro themes. Feed it into trading systems, research workflows, or alt-data pipelines.

Crisis and reputation watch Around-the-clock sentiment monitoring on the topics that matter. Comms gets pinged the moment something shifts.

Research and trend analysis Map how a narrative formed, who carried it, and where it's heading. Build the picture from spoken conversation, not just what got written down.

How it fits

The platform is for humans discovering insights. The API is for the tools your team already runs on. The MCP server is for the agents and copilots they're starting to rely on. Three layers, one job each.

Already an All Ears customer? Connect to your stack today.

New to All Ears? Tell us what you're building. Get in touch