Industry Context — Common BS Fingerprints in Crypto, Blockchain & Web3
Monero Blocks
(https://moneroblocks.info) 📸 Data Snapshot: May 31, 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 Monero Blocks – XMR block explorer (https://moneroblocks.info)
Monero Blocks – XMR block explorer
Monero blockchain explorer – XMR blocks, transactions, payment ids, hashrate, emission. We show it all.
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://moneroblocks.info) Monero Blocks – XMR block explorer
[H3] Transaction Pool Transactions (5) Timestamp Fee Bytes 1502805f0355d58283ed6067f2401b5b1c662f6c5a962a7918e2e1131b6c4376 2026-05-31 03:14:44 UTC 0.000030580000 1529 89d70bf502eb55ba093899d59368c858b746273a61d53f37350c8a2a41654e77 2026-05-31 03:14:45 UTC 0.000044400000 2220 75c5b16da9d6e993d98016b081af6794e5df2541fb2911d8080f625851310e94 2026-05-31 03:14:45 UTC 0.000045480000 2274 76b4c1e09408682c7b28a415d4ab7966526163825e29ed0ba3ad708a8a0785f5 2026-05-31 03:14:44 UTC 0.000712000000 1765 cda50b36bcc1b679e3d85335d631bfe2405e06bf2bb622a45971427f14c047ff 2026-05-31 03:14:44 UTC 0.000030780000 1539 [H3] Latest blocks Lower Height Size Tx Timestamp 3685749 17828 9 2026-05-31 03:14:45 98cd14974cdf4c56df089400fefd2b9d744fc885d7f9408b7907daed1663e53e 3685748 59697 33 2026-05-31 03:14:00 37b87bebe81ed8118eb15fe267d5175eb441ad906c0edb5c0e97ca3676c3f10b 3685747 157965 60 2026-05-31 03:12:25 fbe0a38c91dbd710f49efe273bb2605cc70fa025f541e57ec121bf259c72e760 3685746 125448 49 2026-05-31 03:07:00 26f45022978846265343951c377ecc49804322754e274af58f7e89149fd2ec7f 3685745 56067 14 2026-05-31 03:02:50 f3e22753bdabc05f98c7466b88c7e2296a5288d3d6ebd9b2135e841bc7aff2b7 3685744 301581 51 2026-05-31 03:01:57 3852df4edf62f2ded4424d24764c4c205955cc224d2f2cdbb5e2613c10cc458d 3685743 288798 78 2026-05-31 02:58:43 28dc6b55d9a21e8fd63356549148ec73af14308d34af6d72bb906f45c635c0cb 3685742 8206 4 2026-05-31 02:53:24 5ddc5c46cf6367e5ca31055b20ef95c729b79b535837275b2a72fa98c1bc604e 3685741 6448 3 2026-05-31 02:53:16 82bd0ba3b808f0b589b008f200ba19200c34a651cbafb8eb1eb3bf720ac9ea6f 3685740 107 0 2026-05-31 02:52:32 124361a21f6280a9113e0359c153c1c9ba6be91a734835b93c21848803670000 3685739 47746 28 2026-05-31 02:52:25 36951a9eca97c150db61120b463c52e6a7ccdb5f9371b2e636bbe3d2e468deb6 3685738 76709 36 2026-05-31 02:49:52 9e84b5a1f496e27a914ea36a41ebc329c543ea0f82b2fb7fe585e320766c5e41 3685737 35640 20 2026-05-31 02:46:29 5a258cb92af556a25f84f2b3665358e4f1fc3e4a3e7dced62a6cb1ae552945e3 3685736 156 0 2026-05-31 02:44:45 fba218414c97a3b032a2a41a40b3ac795f91dde2c9b59db0e276105980f947e2 3685735 13884 7 2026-05-31 02:44:44 7004ea0ff0a3ad0201f174eb1f6661b6ee8d590073dd94aeb0025308a67354a9 3685734 2381 1 2026-05-31 02:43:57 63e27211b16eb0cfea39cebb937ee561e5ba12d45b8ebd043c56203e22280253 3685733 158715 33 2026-05-31 02:43:36 bf58884befb5400de26c8828374496d89d5f0fca367a99978d9040c48654f7ae 3685732 110109 48 2026-05-31 02:40:16 87ca4657e9c9e4065db55de468a54a52c5777fad7ca256d80066b74090c4fa1f 3685731 76504 35 2026-05-31 02:36:12 472f7a15f0b9f8f560800e2cc7e1b785170880e512ea71237adf85d2a0f5673e 3685730 25866 11 2026-05-31 02:34:02 0e04b8437e158c06f8f517adcd8568de7c2b9a8802ec8fe37aee85f4c195c2c1 3685729 17509 9 2026-05-31 02:33:20 98d6ddf5919efae6df4090da7f08386933209c2924e334b53353360a8f86156e 3685728 70251 35 2026-05-31 02:32:47 ad6ad1373e0b5609b91872865d0659f296bf8667e843ead515942ea1c80a6ede 3685727 28460 14 2026-05-31 02:30:19 2e0af010ae5309291e22114fc6ce330e741689e062b0e1c6d69c17fc5fceb109 3685726 2350 1 2026-05-31 02:29:36 bc3926595ffa54af9b83489e713bb0e7ef5f3a14e6ecbf3d3ba7ed25f695e134 3685725 10624 6 2026-05-31 02:28:56 84c7a6ca43c99f1eefcd977873b691933b567a5aeede8494ebd3ef76867ed965 3685724 27603 13 2026-05-31 02:27:53 403e93096a1a626c7634ab2f89b486e8404f7a7c72a878ed06708cbe4bfaae60 3685723 39383 22 2026-05-31 02:25:33 e75150a9f51e244453eec1d10f6ef97701478cdfd803df5e7b6ba2ef3934d57a 3685722 8230 4 2026-05-31 02:23:33 2ba8378d23375349c2b38e94173d81674ea43ca91c23abfacf158e11d9ef6064 3685721 97 0 2026-05-31 02:23:01 eb8eda17aae2e043538ab08b38e8f5c73da2eebbf07db4f409bd117027d9da7b 3685720 53759 30 2026-05-31 02:22:56 e3f67ea0359a25cf1718c3a4d802f3c5cccf5a45ae0d49708fe7582d1052da7f 3685719 133056 52 2026-05-31 02:19:47 c0680f96a7aa590e035a68235c42c40ba17ebf80882acad32262b5d402767870 3685718 10736 6 2026-05-31 02:14:27 fd916dc6ac7bc2552251a363d17b0f78902392a37e7e2a620b360b957e35d582 3685717 6964 4 2026-05-31 02:14:06 ffb48200e8d3c6306aa098a27919b2f3534e88bf875df5604b497e300cde2c3a 3685716 234509 106 2026-05-31 02:13:34 a9bb46a287058a41a29c4d7f5001644d817e031209b64c20434ba94b7902a700 3685715 47678 23 2026-05-31 02:05:19 9225b20f1bff247429da97e44f7d6f30109c02526c70e825d1e0f5817e3a3920 3685714 3421 1 2026-05-31 02:03:22 f8565d0799c6b71c5e436776b2e209a680d3a0ae432326dacda101247198dc84 3685713 110585 51 2026-05-31 02:02:57 6f3e89c41f9d6fa760cf0f7bf137ada4e167a78150cc975bfa71740cc4e8b70d 3685712 19963 4 2026-05-31 01:59:26 ca40a7054c0a3a53b4db975b3e295f1a9d054a11f3e4767ccafa2a24b5f909b1 3685711 15168 8 2026-05-31 01:58:46 5a7d22d0949731dd55acdede9a69f9f291c8750c8dbc4a6266c5601e834dd05c 3685710 63310 26 2026-05-31 01:58:09 5a72134df26a7b71ad4ff635d7417f67dfc2ee1fb97fccf9276be96adfc7463b 3685709 157908 65 2026-05-31 01:55:50 9ab640e79f6ce399335a8ee7f8fce9e33a7a4137096554e7add076fa321fbd9b 3685708 3961 2 2026-05-31 01:50:11 28d8797cb5d4b5fa3a7dd99483f05330bbf8185d15da8d56475c51d17c5cf828 3685707 101881 43 2026-05-31 01:50:00 c76c8aa594f9cffebcc914f34415a0bd1137a0e46ec9ea39e817006e50b3992f 3685706 291962 125 2026-05-31 01:46:31 8985e33a4f05f779d1a09303a0b8ac4ab8fdefce90e0bf0da025e86d743cfbc0 3685705 1640 1 2026-05-31 01:36:34 9bc54125e60fb0088892f36113af14c3d325523f6c527b4de12e5f551351e973 3685704 55794 25 2026-05-31 01:36:30 671b4dd6cbdfbc03e6bdf0094996cadfd3c336ec0627547bcc093e866480e1c5 3685703 28069 16 2026-05-31 01:34:16 4a4eb1a4422fc4abfa109304c1e2eef34c44ff943965e440f5ffe264678df9a1 3685702 7672 4 2026-05-31 01:33:01 c7288dba8d396819fa47c5ae159f06bb8beb8c3e4cf796908c8e806605c173b4 3685701 67068 31 2026-05-31 01:32:35 4734929eaf9a637d9a18ff073d73f73dbabf4a61be11afa3b1aa5c670f95d51d 3685700 28964 13 2026-05-31 01:30:54 6df417a714cf4f96cbb061ff638229f4b73761837760fdea66acb615391a3d49
🛡️ 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 293 businesses audited.
Monero Blocks has 36.1 points less BS than the average for Crypto, Blockchain & Web3.
Crypto, Blockchain & Web3 BS: Monero Blocks (moneroblocks.info)
A rare example of a zero-BS utility site. It functions as a transparent mirror of blockchain activity without the layer of marketing hot air found in 99% of Web3 projects.
Implement a proper H1 heading (e.g., Monero Real-Time Block Explorer) to fix the structural hierarchy. Add JSON-LD Organization schema to define the entity and provide digital footprint context. Include an outbound link to the official Monero project or the tool’s source code to establish an external proof path. Add a ‘Risk Disclosure’ footer to satisfy industry missing elements.
The content perfectly aligns with the Crypto, Blockchain & Web3 category. It functions specifically as a block explorer for the Monero (XMR) network, providing real-time ledger data.
“The score of 8 is derived entirely from technical omissions (missing H1, missing schema) and the lack of external proof paths. The information density and semantic coherence are exemplary, showing zero marketing bullshit.”
This training module utilizes a snapshot of public data from Monero Blocks, captured on May 31, 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 Monero Blocks: 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://moneroblocks.info to view the most current version of its content and learn from the source what this company is about and what it offers.