Our Methodology

Data sources

Every article is grounded in primary data aggregated by CryptoBeast.ai. That data comes from four main streams:

• News feeds — 19 curated sources aggregated every 5 minutes, classified by sentiment and importance using an in-house AI classifier. Sources include: U.Today, ZyCrypto, CoinDesk, CoinTelegraph, Decrypt, Bitcoin Magazine, NewsBTC, AMBCrypto, Blockchain.News, CryptoSlate, and 9 more.
• Market data — Live price and volume from Binance spot markets; global market cap, dominance, and Fear & Greed from CoinGecko; Altcoin Season score from independent trackers.
• On-chain metrics — Exchange netflows, whale transaction counts, and accumulation scores from Dune Analytics for EVM-compatible chains.
• Proprietary scoring — The CryptoBeast Score (0–100 per token) blends sentiment (35%), news volume and quality (25%), market trend (25%), and on-chain metrics (15%). Refreshed every 30 minutes.

Content process

1. Aggregate. Data ingestion runs 24/7 on a separate worker process. News feeds classify in 20-minute cycles; market data streams in real time.
2. Analyze. For each article type, our editorial pipeline selects the relevant data subset (e.g. sentiment pulse and top-movers for the daily brief; per-coin signals and on-chain for deep-dives) and feeds it into a drafting model with our editorial prompt library.
3. Validate. Every draft passes automated quality gates: factual claim verification (price and market-cap cross-checks against CoinGecko), banned-vocabulary filter, duplicate-coverage limiter, and schema validation against our 24 required metadata fields.
4. Review. Drafts marked for human review queue in our editorial admin panel. Breaking news defaults to human review; daily briefs and deep-dives default to auto-publish once the pipeline is calibrated. Publishers can override either globally or per-article.
5. Publish. On approval, articles publish with full metadata (title, description, keywords, hero image, OG/Twitter cards, JSON-LD NewsArticle/Article schema, author Organization), sitemap updates, and an IndexNow ping to Bing & Yandex.

Editorial standards

• No guaranteed returns, no "insider" claims, no "moonshot" language.
• Price predictions framed as scenarios with invalidation levels, never as advice.
• Every factual claim traces to a source linked in the article.
• Market data quoted within the article is accurate at publish time; static figures carry a timestamp.
• Articles that touch on regulatory or legal topics avoid opining on legal conclusions and instead report what filings, rulings, or officials state directly.

Quality control

Beyond pre-publish validation, we maintain a continuous quality loop:

• Kill switch. If three consecutive generated articles fail validation, the pipeline auto-pauses and an alert fires to the editorial team. Manual unpause only after review.
• Quality dashboard. Daily report on pass rate, top failure reasons, and retry ratios to drive prompt and filter iteration.
• Broken-link checks. Scheduled nightly sweep across live articles to catch external source link rot.
• Search Console monitoring. Weekly review of impressions, click-through, and position changes to identify thin or regressing content.

Corrections policy

Mistakes happen. When we find or are told about one, we fix it fast.

1. Email contact@cryptomat.news with the article URL and the issue.
2. We acknowledge within 24 hours (usually sooner).
3. Factual corrections: the article is edited and a correction notice appears at the top of the body noting what changed and when. The dateModified field updates.
4. Significant corrections (those that change the main conclusion) get a standalone note linked from the homepage for 24 hours.
5. We retain a change log visible to editors for every edited article.

AI and editorial transparency

Cryptomat content is AI-assisted and human-reviewed. This means drafts, illustrations, and metadata are generated by language and image models using our prompt library, and every article is reviewed by the editorial team before it appears live on the site. The editorial team is responsible for everything that publishes under our name.

Our data foundation — news feeds, market data, on-chain metrics, and proprietary scoring — is described above in Data sources. Full credit to CryptoBeast.ai for the aggregation infrastructure.

Feedback & accountability

If you believe something we've published is inaccurate, misleading, or violates the standards above, write to us at contact@cryptomat.news. If your concern involves a security or privacy issue, use security@cryptomat.news (also listed in our security.txt).