Training Example: OpenTSDB – Review the Data, Give Your Score & Compare to the Real AI Evaluation

Industry Context — Common BS Fingerprints in Software, SaaS & Tech Products
Generic Claims: the all-in-one platform, trusted by thousands of companies, increase productivity by X percent, save hours every week…
Red Flags: AI claims without explaining what the AI does, customer logos without case study or testimonial evidence, no live product access or demo, SOC 2 claims without audit period or report availability…
Semantic Drift Patterns: homepage claims AI-powered but product is rules-based, claims enterprise-grade but pricing page shows startup tiers only, homepage shows Fortune 500 logos but case studies are small businesses, claims all-in-one but integration page shows critical missing pieces…
Proof Expectations: live product demo or free trial access, specific feature documentation with screenshots, verified customer logos with published case studies, third-party review scores on G2, Capterra, or TrustRadius…

OpenTSDB

(https://opentsdb.net) 📸 Data Snapshot: May 25, 2026

Analyze 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 OpenTSDB – A Distributed, Scalable Monitoring System (https://opentsdb.net)
Title

OpenTSDB – A Distributed, Scalable Monitoring System

H3 Store
H3 Scale
H3 Read
H3 News
H3 OpenTSDB 2.3.2
H3 OpenTSDB 2.4.0
H3 OpenTSDB 2.4.1
HEADING_BODY Documentation for OpenTSDB 2.4 — OpenTSDB 2.4 documentation (https://opentsdb.net/docs/build/html/index.html)
Title

Documentation for OpenTSDB 2.4 — OpenTSDB 2.4 documentation

H1 Documentation for OpenTSDB 2.4¶
H2 OpenTSDB 3.0¶
H3 Navigation
H3 Table of Contents
H3 Quick search
H3 Navigation
H4 Next topic
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://opentsdb.net) OpenTSDB – A Distributed, Scalable Monitoring System
[H1]

[H1] The Scalable Time Series Database
Store and serve massive amounts of time series data without losing granularity.
Download 2.4.1

[H3] Store

Data is stored exactly as you give it
Write with millisecond precision
Keep raw data forever

[H3] Scale

Runs on Hadoop and HBase
Scales to millions of writes per second
Add capacity by adding nodes

[H3] Read

Generate graphs from the GUI
Pull from the HTTP API
Choose an open source front-end

[H3] News

[H3] OpenTSDB 2.3.2
2018-12-16 - OpenTSDB 2.3.2 has been released with bug fixes. Please download it from GitHub and help us find bugs!

[H3] OpenTSDB 2.4.0
2018-12-16 - OpenTSDB 2.4.0 has been released with new features including rollups and histograms. Please download it from GitHub, give it a try and let us know of any bugs you find.

[H3] OpenTSDB 2.4.1
2021-09-02 - OpenTSDB 2.4.1 has been released with new features. Please download it from GitHub and help us find bugs! Checkout the documentation to find out what's new. And thank you to everyone who contributed to this release.
1100 chars
SUB-PAGE (https://opentsdb.net/docs/build/html/index.html) Documentation for OpenTSDB 2.4 — OpenTSDB 2.4 documentation
[H1] Documentation for OpenTSDB 2.4¶
Welcome to OpenTSDB 2.4, the scalable, distributed time series database. We recommend that you start with the User Guide then test your understanding with an Installation and read on the HTTP API if you need to develop against it.
[H2] OpenTSDB 3.0¶
Documentation for the OpenTSDB 3.0 work-in-progress can be found here: OpenTSDB 3.0.
[H1] Contents¶
What’s New
3.X (Planned)
2.4
2.3
2.2
2.1
2.0
Installation
Runtime Requirements
Installation
Upgrading from 1.x
Upgrading from 2.x to a Later 2.x
Downgrading
User Guide
Configuration
Writing Data
Querying or Reading Data
Rollup And Pre-Aggregates
UIDs and TSUIDs
Metadata
Trees
GUI
Plugins
Stats
Definitions
Storage
CLI Tools
Utilities
Logging
Tuning
Troubleshooting
HTTP API
Overview
Version 1.X to 2.x
Serializers
Authentication/Permissions
Response Codes
Errors
Verbs
API Versioning
Query String Vs. Body Content
Compressed Requests
CORS
Documentation
Deprecated API
API Endpoints
Telnet Style API
put
rollup
histogram
stats
version
help
dropcaches
diediedie
Development
Guidelines
Git Repository
Details
Additional Resources
Monitoring
Docker Images
Front Ends
Utilities
Clients
References to OpenTSDB
Statistical Analysis Tools
[H1] Indices and tables¶
Index
Search Page
1261 chars
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
0Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
/ (home) 0 0
/docs/build/html/index.html 0 0
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Homepage — no schema detected (entity gap)
/docs/build/html/index.html — no schema detected (entity gap)

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.

Information Density 0 / 30
Read the Narrative & headings: do hard facts (prices, dates, numbers) outweigh fluff power-words?
Semantic Coherence 0 / 20
Compare the homepage promise against the sub-page reality. Do they hold the same line?
Trust & Proof 0 / 20
Weigh review mentions against actual external proof links. Claims without verification = theatre.
Commodity Fingerprint 0 / 15
Check headings & narrative against the industry clichés in the setup above.
Identity & Authority 0 / 15
Inspect the schema: is there real Organization/Person identity with sameAs links, or gaps?
Your predicted BS score 0 / 100
💡 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.

Information Density

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.

Semantic Alignment

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.

Trust & Proof

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.

Commodity Fingerprint

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.

Identity & Authority

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.

B
BS Level
Software, SaaS & Tech Products
33.2 Avg BS

Based on 1130 businesses audited.

BS Detector

Software, SaaS & Tech Products BS: OpenTSDB (opentsdb.net)

https://opentsdb.net 📍 Industry: Software, SaaS & Tech Products
9 BS / 100

This is a rare example of a 0% bullshit technical resource that has unfortunately succumbed to temporal decay. It provides exact technical specs for its stack without a single marketing adjective, making it a high-substance, low-noise artifact of its era.

Info Density Power-words vs. Substance ratio.
0
0% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
0
0% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
2
10% BS
Commodity Fingerprint Detection of industry clichés/templates.
1
7% BS
Identity & Authority Expert verifiability & Schema depth.
6
40% BS

Implement Organization and SoftwareApplication schema to improve the technical footprint in modern search. Update the News section or homepage with a 2026 status report to indicate whether the project is in maintenance mode or active development. Include a link to a ‘Benchmarks’ page that provides raw data for the ‘millions of writes’ claim to move it from a technical assertion to a verified fact.

The site is a perfect match for the Software & Tech Products category. The content is exclusively focused on the technical architecture, deployment, and operation of a distributed time series database.

“The score of 9 is driven almost entirely by the Identity and Authority pillar, specifically the missing schema data and the stale nature of the release evidence (older than 36 months). The first four pillars scored near zero due to the total absence of marketing fluff and the high degree of technical specificity.”

Verified Analysis Date: May 25, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result
Brand AI Reputation