Customer StoriesPricing

Use case

Social listening that returns data, not dashboards

Audience conversation from Instagram, TikTok, Reddit, X, YouTube, Meta, and LinkedIn, clustered into themes and delivered as JSON your scripts and agents can use.

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The short answer

Waldo does social listening by tracking audience conversation across Instagram, TikTok, Reddit, X, YouTube, Meta, and LinkedIn, clustering the verbatims into themes, and returning them through an API and MCP server. Tracked audiences refresh every 24 hours; Discover endpoints query the platforms live. You get the actual quotes, with links back to every source.

The job to be done

Listening is supposed to answer one question: what are real people saying about the brand, the category, and the moment, right now. The tools built for it answer a different one. Dashboards compress sentiment into a line chart, boolean queries miss how people actually phrase things, and the verbatims that matter sit three exports and a pivot table away from the person who needs them.

The pain compounds when listening has to feed something downstream: a weekly comms report, an agent that drafts responses, a brief that quotes customers in their own words. A dashboard screenshot cannot feed a cron job. The listening layer needs to be queryable, current, and attached to its receipts, which is a data problem, not a charting problem.

How Waldo does it

Activate what you need to hear

Tell Waldo which brands and audiences to track. From then on the conversation around them refreshes on a 24-hour cycle, and everything captured is stored permanently, text, images, video, and metrics, even if the original post gets deleted.

Pull clustered verbatims

GET /audiences/{id}/conversations returns the conversation grouped into themes with the raw quotes attached. Per call you choose raw source material when you need the language, or scored analysis when you need the shape of it.

Go live for anything untracked

Discover endpoints query the platforms at request time, so a question about a community you have never tracked gets a fresh answer instead of an empty chart.

Feed it downstream

The same feed reads over MCP inside Claude, ChatGPT, or Copilot, and over the API for crons. A morning job can diff the themes, pull the new quotes, and post the shifts to Slack before standup.

The endpoints

/audiences/{id}/conversationsAudience verbatims clustered into themes, refreshed daily
MCP: audience_insightsThe same conversation data inside Claude, ChatGPT, or Copilot
Discover endpointsLive platform queries for anything not yet tracked
Enrichment endpointsPost, profile, and transcript lookups at request time
24hRefresh cycle for tracked audiences
200+Endpoints across API and MCP
LiveDiscover queries hit platforms at request time
7 platformsInstagram, TikTok, Reddit, X, YouTube, Meta, LinkedIn

Questions teams ask

Which platforms does listening cover?

Tracked audiences span Instagram, TikTok, Reddit, X, YouTube, Meta, and LinkedIn, plus the open web. Discover and enrichment endpoints hit the underlying platforms live for anything outside the tracked set.

What happens when a post is deleted?

It stays in your record. Everything Waldo captures is stored permanently, text, images, video, and metrics, so the quote you flagged in March is still there for the June report even if the author removed it.

How is this different from a listening dashboard?

Dashboards render conclusions; Waldo returns the data underneath them. Every output links to its sources, the same queries run over API and MCP with the same auth, and nothing you build is trapped in a vendor’s UI.

What is the difference between social listening and social monitoring?

Monitoring counts mentions; listening asks why they happened and what to do next. In practice the split is whether the analysis changes anything downstream. Because Waldo stores every captured post permanently, the analysis can be re-run retroactively when the question changes, which a count alone can never support.

Is there a social listening API?

Yes. Waldo serves listening as an API and MCP server: clustered verbatims, sentiment, and themes over REST for crons and pipelines, and the same queries inside Claude, ChatGPT, or Copilot over MCP. Pricing is per call, so an agent and an analyst draw from the same pool.

How do you do social listening without an expensive tool?

Skip the platform contract. Waldo is self-serve: sign up, mint a key, and pay credits per call, about 1 credit per 20 results on raw lists and about 5 on analysis calls. A weekly listening pull for one brand costs a few credits, not a seat license.

Keep reading

What is social listening?The discipline, defined, and where API-first listening fits.Brandwatch alternativeFor teams replacing a listening dashboard with a data layer.Waldo for PR and comms teamsHow comms teams wire clustered verbatims into daily reporting.Waldo BuildThe API and MCP server behind the listening feed.

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Brand, category, and audience intelligence over 200+ API and MCP endpoints. Sign up, mint a key, and run it against the brands you actually track.

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