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Infrastructure-based technographicsBy anvendor·Published ·Updated

anvendor vs Bloomberry

Bloomberry retrieved 102 of 316 published relationships; anvendor 123. Compare infrastructure signals, live checks, adoption estimates and actual domain results.

10 company lookups · 316 published relationships

Published relationships found

anvendor

38.9%123 / 316 found

Bloomberry

32.3%102 / 316 found

66

anvendor only

57

Both found

45

Bloomberry only

Company stack lookups. Marketplace and integration listings were excluded from use matching. Technology adoption/churn dates were not tested for accuracy. Positive-reference recall, not precision; references can be old. A missing result does not prove non-use.

Features & integration access

FeatureBloomberryanvendor
API

Yes · stacks & changes

Company technology enrichment and stack-change signals.

Official source ↗

Yes · REST API

Company analysis, service checks and customer discovery.

Official source ↗
MCP

Not publicly documented

No official MCP integration was established from the reviewed documentation.

Official source ↗

Yes · official server

Connect AI clients to the same analysis, discovery and scan operations.

Official source ↗
Usage depth

Infrastructure & change signals

DNS, subdomains, certificates and configuration can reveal internal SaaS.

Official source ↗

Estimated employee adoption

Where available; use signals do not verify paid seats.

Spend

No comparable figure collected

The saved lookup did not supply annual SaaS subscription ranges.

Estimated annual SaaS ranges

Published plans with estimated usage or size; USD, not invoices.

API/MCP availability describes documented products, not benchmarked results. Access and datasets may depend on the plan. On narrow screens, scroll the table sideways.

Methodology, tested services & customer references

Companies checked: Atlassian (atlassian.com), Canva (canva.com), Shopify (shopify.com), Okta (okta.com), HubSpot (hubspot.com), Databricks (databricks.com), OpenAI (openai.com), Ramp (ramp.com), Stripe (stripe.com) and Airbnb (airbnb.com). We selected well-known technology companies often named in customer references, with roughly fewer than 15,000 staff and matching website and corporate domains. This is a selected sample, not a representative market survey.

The starting point: vendors’ own customer logos and case studies. A company logo, customer story or testimonial published by a service vendor supplied a reference pair: for example, Stripe named by BrowserStack becomes stripe.com × BrowserStack. We then checked whether each collected tool result named that vendor or a matching product.

The reference set contains 316 relationships from 207 vendors: 175 involving vendors in anvendor's catalogue, reviewed individually, plus 141 involving additional vendors. For the additional group, a named product belonging to the vendor counted. Three SendGrid references duplicated Twilio relationships and were excluded.

What the percentages mean. On competitor pages, found ÷ published reference pairs is positive-reference recall. There are no verified negatives, so this does not measure precision. References may be old, describe one team or favour prominent companies. The catalogue subset favours anvendor's coverage; the added vendors came from collected tool lists, so vendors no method reported are omitted. We build anvendor and did not independently verify paid contracts. Missing evidence does not establish non-use.

A separate category analysis: the visibility infographic starts with 714 anvendor findings across 266 distinct services at those ten companies, rather than the 316 published reference pairs. Each finding is classified by service category and checked for traces in website/DNS/infrastructure results, job signals, both or neither. Its percentages are shares of anvendor findings, not retrieval accuracy. BuiltWith covers Stripe only, Sumble its Tech Stack tabs; the collected surfaces do not represent every competitor's full product.

Pricing: 20 selected GitHub estimates use published plans and estimated usage or company size. Vendr's saved GitHub benchmark covers 984 purchases from a different population. The interval overlap provides context; no named company's invoice was checked. Results were saved at different times, rather than collected simultaneously.

Download all 316 reference pairs and source links (CSV)

All 207 tested reference vendors

Each name links to a vendor-published reference page. The CSV maps every company-service pair to its source; this list describes the reference set, not anvendor's entire catalogue or all technologies returned by competitors.

Bloomberry and anvendor both find back-office SaaS beyond website tags. Bloomberry reads infrastructure signals and tracks changes over time. anvendor detects company-service use and adds estimated adoption and annual spend, with live checks on demand.

What each tool sees

Bloomberry describes detectors using subdomains, DNS records, certificate transparency and website configuration. Its alerts and API are useful for tracking changes in a company's stack. It covers internal SaaS too; describing it as a front-end scanner would be misleading. Our test examined its company lookup, not the accuracy of its adoption or churn timing.

 Bloomberryanvendor
What it observesPublic infrastructure and product-specific deployment signalsCompany-service evidence found through live scans
SaaS behind a loginYes — internal SaaS can leave DNS or other infrastructure signalsCoverage includes CRM, HR, design, documents, ticketing, code hosting and storage
Depth inside a companyDetected presence and change events; no staff adoption share in the lookupEstimated adoption to help assess the scope of use
Spend figureNo company-service spend range in the collected lookupsEstimated annual spend ranges from sourced plans and estimated usage; estimated rates labeled
Runs tool → companiesYes — vendor users through its app and APIYes — find companies with evidence of using a competitor
Best atInfrastructure-based technographics and technology change alertsSaaS prospecting beyond website visibility, with live checks on demand

102 relationships versus 123

Bloomberry retrieved 102 of the 316 published relationships; anvendor retrieved 123. They shared 57. Bloomberry added 45 that anvendor missed, and anvendor added 66 that Bloomberry missed. Together they retrieved 168.

On real company domains

 Bloomberryanvendor
canva.com · ChainguardFoundFound
stripe.com · DatasiteNot foundFound
ramp.com · LangfuseFoundNot found

“Found” means the collected result named that vendor or a matching product. “Not found” means it was absent from that result, not that the company does not use it.

Published customer references: canva.com · Chainguard; stripe.com · Datasite; ramp.com · Langfuse. These references supply the yardstick; the table reports our saved tool results.

Bloomberry returned 1,303 entries across the ten domains, including 89 integration or marketplace listings. Those listings were excluded when scoring customer relationships: appearing in another vendor's marketplace does not establish that the company uses it. The saved Stripe lookup listed 109 entries, compared with 67 services in anvendor.

How to read the results

We compared Atlassian, Canva, Shopify, Okta, HubSpot, Databricks, OpenAI, Ramp, Stripe and Airbnb against 316 customer relationships published by 207 vendors. Of these, 175 involve vendors in anvendor's catalogue and 141 involve vendors outside it. We reviewed matches individually for the first group; in the second, a named product of the vendor counted.

This measures how many published relationships each method retrieves, not precision or the complete stack. Customer references can be old, favour well-known companies and omit vendors none of the methods reported. We build anvendor; its detections were not independently verified as paid contracts. See the methodology, tested services and published reference links.

Which to use

  • Bloomberry: deployment signals, stack changes and event-based prospecting.
  • anvendor: company-service research with estimated adoption and spend.

Competitor use can signal a need in the category and help your team qualify a lead. It does not establish budget, dissatisfaction or intent to switch. Check the account against your ideal customer profile and identify a reason to reconsider before outreach. Spend ranges are estimates, not invoices or guaranteed deal sizes.

anvendor may reuse recent findings. Results less than 30 days old are treated as fresh; an already purchased result can be reopened without another charge. Choose Refresh to request a new paid live scan. Empty or failed checks return their credits.

Frequently asked questions

Is Bloomberry only a website scanner?

No. Bloomberry describes infrastructure and product-specific deployment detectors, including DNS, subdomains and certificate transparency. Both Bloomberry and anvendor can identify internal SaaS beyond website tags.

Did you test Bloomberry’s adoption and churn dates?

No. We compared the vendors named in its company lookup with published customer references. Change-event accuracy, purchase dates and churn dates were outside this test.

Does a detection prove a paid subscription?

No. It is evidence of company-service use. Neither a detection nor an estimated spend range establishes a paid contract, purchase intent or willingness to switch.

Suggest a correction · Sources and estimate limitations

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