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Methodology

How we track sentiment

1,000+ sources. Full transparency.

Every source we track, how we classify sentiment, and the methodology behind Perception's intelligence platform.

Complete source directory

Every source we monitor, organized by category. 1,000+ sources across 12 categories.

Repositories
8
Bitcoin Core, Lightning implementations, and key protocol development
Communities
5
Forums, discussion platforms, and community-driven content
Crypto Media
24
Crypto-native publications covering digital assets and blockchain
Financial Media
38
Traditional finance publications and market-focused outlets
Mainstream Media
132
Global news outlets and broadcast networks across regions
Podcasts
58
Audio content and interviews from Bitcoin and crypto voices
Wire Syndication
3
Corporate announcements distributed across major syndication networks
Research
32
Institutional research, on-chain analytics, and industry reports
X / Twitter
330
330 accounts tracked on X, executives, analysts, developers, traders, and organizations
LinkedIn
268
Company pages and key voices tracked on LinkedIn
Tech Media
11
Technology publications covering innovation and digital trends
Regulatory Intel
103
Regulators, central banks, and policy bodies worldwide
01

Collection

Everything gets captured

Every mention across 1,000+ sources. Dedicated coverage, social posts, passing references. This powers your watchlist alerts and trend clustering in Spaces.

02

Curation

Broad and deep

RSS feeds, social accounts, regulatory filings, press wires, and research, all flowing through automated pipelines into a unified data warehouse. If it's published, we capture it.

03

Enrichment

AI-enriched for deep analysis

Every article is sentiment-scored, entity-extracted, and topic-classified using the latest models from leading AI providers like Anthropic and OpenAI. Trends are identified by grouping related narratives with signal strength and confidence scoring.

04

Delivery

From monitoring to deliverables

Create watchlists for what matters. Organize in Spaces by project. Generate deliverables with Recipes. All backed by verified coverage.

How we label sentiment

We categorize by tone, context, and language. Not keywords, actual meaning. This is why the sentiment in your watchlists is reliable.

Positive

Content that portrays Bitcoin favorably or highlights its benefits, adoption, or potential.

Signals: Endorsements, adoption announcements, bullish analysis, success stories, institutional support

Negative

Content that portrays Bitcoin unfavorably, highlights risks, or expresses skepticism.

Signals: Criticism, regulatory warnings, security concerns, environmental arguments, scam associations

Balanced

Content that presents multiple perspectives neutrally without advocating for a particular view.

Signals: Factual reporting, educational content, both-sides analysis, price updates without commentary

What perception tracks

Intelligence across the
emerging finance ecosystem

Bitcoin

The base layer. Institutional commentary, developer activity, regulatory narratives.

Bitcoin

Stablecoins

Adoption trends, issuer movements, regional policy shifts.

Stablecoins

Tokenized assets

Real-world asset tokenization, market developments, regulatory frameworks.

Tokenized assets

Macro catalysts

Rate moves, FX flows, capital controls, and other drivers of digital asset narratives.

Macro catalysts