Industry Context — Common BS Fingerprints in Crypto, Blockchain & Web3
TzKT
(https://tzkt.io) 📸 Data Snapshot: May 24, 2026Analyze the raw signals below. How would a machine score this business’s credibility?
Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.
🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE TzKT – Tezos Explorer by Baking Bad (https://tzkt.io)
TzKT – Tezos Explorer by Baking Bad
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE · THIN (https://tzkt.io) TzKT – Tezos Explorer by Baking Bad
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 0 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Your Diagnosis
Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.
Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)
These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.
Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.
Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.
Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.
Based on 366 businesses audited.
TzKT has 9.7 points less BS than the average for Crypto, Blockchain & Web3.
Crypto, Blockchain & Web3 BS: TzKT (tzkt.io)
TzKT is a technical ghost that occupies a specific niche without providing a shred of on-page evidence to support its claims. While it is refreshingly free of typical crypto-bro fluff and deceptive trust theatre, its failure to implement basic technical signals like H1 tags or schema results in a significant credibility deficit. It is currently a signal without a transmission.
Immediately implement an H1 tag that explicitly states the tool’s core functionality as a Tezos indexer and explorer. Add Organization and SoftwareApplication JSON-LD schema to the homepage to link the project to Baking Bad’s verifiable digital footprint. Populate the landing page with live on-chain metrics, such as current block height or transaction count, to provide immediate proof of utility. Include a technical ‘About’ section that defines the architecture of the explorer to move from a meta-claim to technical substance.
The site aligns with the Crypto, Blockchain & Web3 industry as evidenced by its metadata identifying itself as a ‘Tezos Explorer.’ The inclusion of ‘Baking Bad’ in the title further reinforces this match, as it refers to a known development entity within the Tezos ecosystem.
“The score of 36 is driven primarily by the site's failure in Identity and Authority (13) and Semantic Coherence (13) due to a total lack of technical implementation and content structure. It avoids a higher 'Extreme BS' score only because it does not utilize deceptive jargon or generic marketing cliches (0 on Commodity Fingerprint). The insufficient content flag confirms that the distance between the claim and the proof is the primary source of bullshit in this audit.”
This training module utilizes a snapshot of public data from TzKT, captured on May 24, 2026, to demonstrate how machine logic evaluates different types of business narratives.
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.
Notice to TzKT: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.
Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://tzkt.io to view the most current version of its content and learn from the source what this company is about and what it offers.