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Software procurement and price benchmarksBy anVendor·Published ·Updated

anVendor vs Vendr

Compare Vendr’s GitHub purchase benchmark with anVendor estimates for Stripe, Shopify and OpenAI. Market prices and named-company estimates answer different questions.

Pricing / procurement · not a company-stack lookup

Market prices vs account estimates

The saved GitHub benchmark covers 984 purchases: median $54,354/year, low–high $14,283–$159,324. It is a market benchmark, not a named company’s contract or a detection-accuracy test.

Features & integration access

FeatureVendranVendor
API

Yes · pricing & procurement

Software catalog, purchase scope, pricing and negotiation workflows.

Official source ↗

Yes · REST API

Company analysis, service checks and customer discovery.

Official source ↗
MCP

Yes · official server

Hosted MCP with Vendr sign-in or an API key.

Official source ↗

Yes · official server

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

Official source ↗
Usage depth

Buyer’s purchase scope

Seats and requirements for procurement, rather than external company-use detection.

Official source ↗

Estimated employee adoption

Where available; use signals do not verify paid seats.

Spend

Contract benchmarks & quotes

Market purchase data and pricing for the buyer’s requirements.

Official source ↗

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.

Vendr helps software buyers benchmark and negotiate prices. anVendor helps sellers find companies using competing services and estimate adoption and annual spend. Vendr's contract benchmarks and anVendor's company estimates answer different questions.

What each tool provides

Vendr's marketplace price-check workflow uses a buyer's quote or contract for procurement analysis. Its published benchmarks summarize purchases across buyers. anVendor estimates a named company's likely spend from detected service use, estimated usage and vendor plans; it does not have that company's invoice.

 VendranVendor
What it observesPurchase and contract benchmarks, plus submitted quotesCompany-service evidence found through live scans
SaaS behind a loginPricing for SaaS products; the benchmark does not identify their customersCoverage includes CRM, HR, design, documents, ticketing, code hosting and storage
Depth inside a companyContract context for buyers; public pricing is aggregated across purchasesEstimated adoption to help assess the scope of use
Spend figureMarket price benchmarks from purchasing dataEstimated annual spend ranges from sourced plans and estimated usage; estimated rates labeled
Runs tool → companiesNot the purpose of the reviewed marketplace pricing pagesYes — find companies with evidence of using a competitor
Best atProcurement, quote checks and negotiationSaaS prospecting beyond website visibility, with live checks on demand

GitHub: market price and a named account

The saved Vendr GitHub benchmark reported a median annual contract of USD 54,354 across 984 purchases, with a published low–high range of USD 14,283–159,324. The median is not what Stripe, Shopify or OpenAI pays.

 Vendr · GitHub benchmarkanVendor
stripe.com · GitHubMarket median: USD 54,354 / yrUSD 50,400–101,000 / yr; estimated adoption 36%
shopify.com · GitHubSame market benchmark; no named-company contractUSD 59,900–99,800 / yr; estimated adoption 52%
openai.com · GitHubSame market benchmark; no named-company contractUSD 19,400–32,300 / yr

These anVendor figures are rounded estimates from the saved results. Fourteen of the 20 company ranges in the research sat inside Vendr's published range. That is context, not validation: the purchases and named companies are different populations, and no actual contract for these companies was checked.

Which to use

  • Vendr: judging a quote, budgeting a purchase and negotiating a renewal.
  • anVendor: identifying competitor customers and prioritizing named accounts.

Use market benchmarks to frame a conversation; verify an individual company's budget through its own buying process.

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

Can Vendr’s market median tell me what one company pays?

No. The public benchmark aggregates purchases across buyers. It does not establish Stripe’s, Shopify’s or OpenAI’s contract value.

Are anVendor spend estimates verified by Vendr’s price range?

No. The examples compare different populations without checking named-company contracts. Overlap with a market range provides context, not independent validation.

Which product helps find competitor customers?

anVendor supports discovering companies using a competing SaaS or business service. Vendr’s reviewed marketplace pages support software buying and negotiation rather than customer discovery.

Suggest a correction · Sources and estimate limitations

Related

Find companies using your competitors’ SaaS

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