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Sentiment analysis

Crypto sentiment analysis tools

Track the tone of company and topic coverage, then open the sources behind a change. Use it in your AI client or the Perception dashboard.

PerceptionSaved example · 8 Sep 2026

Read the current Perception Index from the public API.

A request you can run

Request
curl "https://api.perception.to/index"
Saved response · selected fields
{
  "score": 49,
  "status": "Neutral",
  "article_count_24h": 1918,
  "updated_at": "2026-09-08T16:45:16.965Z",
  "update_frequency_minutes": 15
}
    Open the source

    Selected fields from a captured API response. The endpoint returns the latest value when you run it.

    Condensed from cited sources

    Ask your own question with Perception connected to your AI. Connect Perception

    Read the coverage behind the score

    A sentiment score summarizes the tone of a defined set of sources. Perception lets you investigate that sample by company, topic, outlet, and time window.

    Use it to compare coverage and decide what to read next. The source set and method matter when interpreting a change.

    What Perception measures

    Choose the view that fits your question:

    • Coverage sentiment. Explore positive, neutral, and negative labels within matching coverage.
    • Fear & Greed Index. A summary of media sentiment with a published method and historical series.
    • Per-entity sentiment. Explore the tone around a named company within matching coverage.
    • Narrative momentum. A score from -100 to +100 that tells you whether a story is accelerating, holding steady, or fading.
    • Analyst ratings. Wall Street consensus, price targets, and recent upgrades and downgrades for 70+ crypto-linked stocks, alongside the media sentiment.
    • Inspect the sources. Read the matching articles and check the source sample behind your analysis.

    Use it in your existing workflow

    The signal only matters if it fits the way you already work. Perception meets that in a few ways:

    • Track a change. Follow coverage tone for the companies and topics your team reviews.
    • Investigate an event. Review coverage around an announcement and compare it with the preceding period.
    • Compare companies. Compare coverage volume, tone, and outlets for the same date range.
    • Add historical context. Inspect earlier periods to understand how discussion around a company or theme has changed.

    The data behind the signal

    Interpret the score alongside its source sample. Perception tracks 1,000+ curated sources across news, crypto-native media, research, podcasts, conference talks, social, and regulatory filings, organized for search and comparison.

    Coverage-level and entity-level sentiment serve different questions. Review the matched sources and methodology when comparing them.

    Questions your team can ask

    What is crypto sentiment analysis?

    It classifies the tone of a defined sample of coverage, such as articles mentioning a company during a week. Inspect the source set, time window, and method alongside the score.

    How should I choose a sentiment tool?

    Test a company or topic you understand. Compare the matched sources, dates, sentiment labels, and the steps needed to investigate an unexpected result.

    Can sentiment explain a market move?

    Coverage can help you investigate the context around a move. Establishing causation or a predictive relationship requires a separate method and evidence.

    How do I use Perception?

    Connect your AI client through MCP and ask about a company or topic. Paid plans also include a dashboard and REST access. Review the source trail behind the result.

    Give your next answer better context

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