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Spur
Checking Product
Validate at the Speed of Generation
Spur provides teams with the validation infrastructure and agentic harnesses to automate every aspect of testing
Start Validating
See what we caught

Enterprises that work with Spur, ship at the speed of generation

Spur makes quality a growth lever, for every team that ships.

Validation stopped being QA's job the moment a merchandiser, a copywriter and a translator could change a product without touching code.

Infrastrucurre for every type of

validation your team does

Pre-merge
Pre-release
Launch days
Always-on
Pre-merge

Validation runs on the pull request, before anything ships. Every change gets checked the moment it's proposed, not after it's already in front of a customer.

Runs on every pull request automatically

Blocks the merge when validation fails

Flags the diff, not the whole site

Results back before review finishes

*Most defects caught here never reach a human reviewer.

Pre-release

The full release gets validated in parallel, every surface at once. What used to be a serial pre-launch scramble runs as one pass across web, mobile, and every locale you ship to.

Full regression across every surface in parallel

Web, native mobile, and localization together

Catches what changed since the last release

Complete in minutes, not overnight

*A full regression that once took a day now clears before standup.

Launch days

The whole release is validated as one the moment it goes live. Not a sample, not the happy path, every critical journey checked against what you actually shipped, while it matters most.

Validates the live release end to end

Confirms every critical journey in production

Watches the surfaces customers hit first

Flags regressions the instant they appear

*The first customer through should never be the one who finds it.

Always-on

Validation never stops after launch. Spur monitors production continuously, from every region, catching the defects that only appear once real traffic, real data, and real integrations are live.

Continuous production monitoring, every region

Catches issues that only surface in the wild

Runs around the clock without a person watching

Alerts the moment something drifts

*23 production defects in one customer's quarter came from this stage.

Customers with real applications

Abercrombie & Fitch
Bombas
Vuori
Living Spaces
Wondr Health
OneSafe
Case Studies

I got the login and just tried it. Without any training I had a comprehensive report in an hour, it called out every functional difference between the two pages, including translated content I’d never have caught by myself.

Lauren Morr
Lauren Morr
Senior Vice President, Digital at A&F
Agent MVPs
Smoke suite run by hand overnight → runs itself, done by 4AM
QA ownership: the QE team alone → five teams own validation
Mobile regression: one week, fully manual → roughly two hours
23
Production Bugs Caught in 90 Days
Read Case Study

A launch used to cost us four hours of manual checking. Now the results are waiting when we log on, and we only look at what's flagged.

Marissa Calabrese
Marissa Calabrese
Site Merchandising, Bombas
Agent MVPs
4 hours of manual launch QA per launch → automated, review only
Every one of 160–215 launch pages covered, not a sample
Pre- and post-launch suites built from a single CSV of product URLs
1,400+
Validations Before 9AM
Read Case Study

We spent six months on Playwright and still had partial coverage. Spur passed that in a single day, and QA stopped being one person's job.

Chris Bremmer
Chris Bremmer
Lead Automation Engineer, Vuori
Agent MVPs
Six months of Playwright coverage surpassed in a single day
365 tests live across 17 plans and 6 regional release gates
QA ownership shifted from one engineer to the whole team
50%
Automation Coverage in One Day
Read Case Study
Spur is our first big win company-wide in terms of implementing the use of AI agents. When we were able to share this with our greater team, everybody was almost in awe of what we were able to achieve.
Chloe Lu
Chloe Lu
Manager, E-commerce Quality Assurance, Living Spaces
Agent MVPs
8–12 hours of manual regression each release → fully automated
Full regression coverage in days, not quarters
QA is no longer the release bottleneck
10x
Faster Deployment Velocity
Read Case Study
“It made people’s jobs easier. No one was let go, and it created space to work on more interesting problems.”

‍

Katherine Maddox
Katherine Maddox
Director of Quality Engineering, Wondr Health
Agent MVPs
Consistent
Pre-release and post-release validation
Read Case Study

"It is definitely one of the most useful things we have had, not just for QA but for our company in general. I would just suggest other fintech teams try it out. It would give you more security that your actual money and your actual processes and flows are being covered very comprehensively."

Denise Anne Gamboa
Denise Anne Gamboa
Product & Project Manager, OneSafe
Agent MVPs
75%
Less QA time per release, down from four days to one.
Read Case Study

Infrastructure to fuel validation at production scale

Put agents on every surface to automate every part of validation your team does today manually

Button Text
Built for Scale

Run in Parallel

Run 100s of tests in parallel across Web and Native Mobile Tests

Built for Reliability

Simulate Actual Customer Behaviors without compromising reliability

The AI Agent adapts to pop-up banners, cookies, promotions, items being out of stock dynamically

Covers Every Use-Case

Exploratory Testing
Localization
UI/UX Testing
Functional Testing
AI Feature Testing

Exploratory Testing

Core Agent Objectives
  • Test unpredictable user paths automatically
  • Locate the bugs that scripts can not
  • Boost coverage with new paths every run
Learn More
“I’m gonna see if I can expense Spur through my wellness stipend. Category: Therapy”
Gabe Wilson
Gabe Wilson
Founder, Terrakotta

Localization

Core Agent Objectives
  • Detect mixed-language and untranslated UI elements across flows
  • Validate currency symbols, formats, and regional pricing logic
  • Check date, time, number, and address formatting by locale
  • Surface cultural and regional UX inconsistencies
  • Continuously expand localization coverage with new paths every run

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Learn More
Last year my confidence going into Black Friday was a five out of ten. This year it's a ten out of ten.
Alanah Anderson
Alanah Anderson
Product Manager, Eight Sleep

UI/UX Testing

Core Agent Objectives
  • Detect UI issues such as typos, broken links, layout overflows, and misaligned elements
  • Validate usability across real user flows, not just happy paths
  • Catch non-functional or misleading UI elements users may encounter
Learn More
"After 15 years in QA, I’ve never ramped up faster. Spur’s AI gives detailed feedback that makes dev handoff easy — and their support eliminated the pain of UI automation. I’d pick Spur over any other framework, hands down"
Theodore Schachter
Theodore Schachter
QA Engineer, Studeo

Functional Testing

Core Agent Objectives
  • Cover complex multi-step user journey scenarios
  • Simulate the real end user experience
  • Build complex test dependencies by chaining tests together, e.g. sign in --> checkout --> placing a return
Learn More
"Spur is shockingly easy to use—no coding, just plain English. Simply describe what you want to test, and Spur handles the rest. Onboarding was a breeze, and Anushka and Sneha are fantastic to work with."
Eve Bouffard
Eve Bouffard
Product, Y Combinator

AI Feature Testing

Core Agent Objectives
  • Simulate real user interactions with AI systems (search, chat, recommendations, agents)
  • Stress-test AI responses across unpredictable user inputs
Learn More
Spur is our first big win company-wide in terms of implementing the use of AI agents. When we were able to share this with our greater team, everybody was almost in awe of what we were able to achieve.
Chloe Lu
Chloe Lu
Manager, E-commerce Quality Assurance, Living Spaces

Bug Book

These are production bugs found for our actual customers

Explore Bugs Caught
AI Feature Testing

Search results for “gaming console” show accessories instead of consoles

See Full Test
UI/UX Testing

Multiple UI/UX inconsistencies on international pricing page

See Full Test
AI Feature Testing

AI chat responds in English instead of French

See Full Test
Exploratory Testing

“Best Sellers” link in header leads to a 404 page

See Full Test
Functional Testing

Checkout shows incorrect price or currency for Germany shoppers

See Full Test
Localization

French (Belgium) users see incorrect language during checkout

See Full Test
AI Feature Testing

Chat responses fail during long conversations

See Full Test
Functional Testing

Liked Item Missing From Favorites

See Full Test
Exploratory Testing

Meal selection page stuck loading

See Full Test
Functional Testing

Delivery date is not displayed correctly

See Full Test
Functional Testing

Subscription plan displays raw template text

See Full Test
Exploratory Testing

Rewards page shows incorrect annual redemption limit

See Full Test

Platform: Native Mobile App (Android)
Device: Pixel 4a
Android Version: 35
User Type: Tobacco Member
Test Result: Failed at step 5 - Points display configuration error

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AI Feature Testing

Afternoon time slots don’t appear when selected

See Full Test

Platform: Web Browser
Website: Rockefeller Center
Test Type: E2E Purchase Flow

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Functional Testing

Total cost shown is wrong at checkout

See Full Test
Exploratory Testing

Checkout button leads to error page

See Full Test

Checkout completion rate, conversion rate, revenue

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Functional Testing

Checkout total is higher than expected

See Full Test

Revenue accuracy, pricing accuracy, discount validation, checkout conversion rate

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Exploratory Testing

Reviews reference a different item (dress) on shorts page

See Full Test
  • Prevented over $400k in lost sales
  • Saved 21 hours in dev time on the bug
  • Automated 21 hours in dev time on the bug
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Enterprise-Grade Security & Reliability

Spur’s Full Security Protocol
  • Continuous vulnerability scanning & pen-testing
  • Configurable data retention & deletion policies
  • 99.9 % uptime + multi-region redundancy
  • Configurable data retention & deletion policies
  • Over 100 additional enterprise security safeguards

FAQ

Did we miss a question?
Email us directly

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Getting Started
How does a pilot / POC work?

Most teams start with a 1–2 week POC on your real site and real use cases. We scope 2–3 flows that matter to you (regression, daily site validation, a launch), build the tests together, and agree success criteria up front.

What do you need from us to get started?

Just a URL, we never need access to your codebase. If your site has bot protection, we'll give you our static IP list to whitelist (a standard step for most enterprise brands). For native mobile apps, we need a build file (.ipa / .apk). Test accounts help for logged-in flows.

What is the onboarding process like?

Two steps: a call to understand your product and testing goals, then a working session where we set up your workspace and build your first tests with you.

Do I need to know how to code to use Spur?

No! Spur is a no-code testing platform, so you write all your tests in plain English instead of code. Anyone on your team (PMs, QAs, engineers, or CTOs) can create and maintain tests in Spur using natural language descriptions of the flows you want to cover.

How fast until we have real coverage?

95% of brands automate all core flows in the first month. Living Spaces went from 0 to 80% coverage in one month; Uncommon Goods hit 90%+ test accuracy in weeks.

How Spur Works & Reliability

How is Spur different from Selenium, Playwright, or record-and-play tools?

Scripted tools depend on selectors and break when the UI changes. Spur's agents execute intent - "add a medium black legging to cart and check out" - so tests survive redesigns, A/B tests, and daily merchandising changes. That's why maintenance drops to near zero.

How does Spur handle pop-ups, promos, cookie banners, and out-of-stock items?

The agent adapts dynamically - it dismisses banners, picks in-stock variants, and keeps going the way a real shopper would.

How do you prevent false positives?

Every run produces full video playback and step-level evidence, so you can see exactly what the agent saw. Customers report ~80% fewer false positives than scripted suites.

Who maintains tests when our site changes?

Mostly no one - intent-based tests adapt. When something does need updating, it's a plain-English edit, and our team helps.

Can Spur handle logins, MFA/OTP, and CAPTCHA?

Yes, with standard setup: test accounts, whitelisted IPs, and OTP handling. For sites with strict bot protection we work with your security team.

Can one test run across hundreds of products, locales, or stores?

Yes - data tables let you write a flow once and run it against a table of products, markets, or configurations.

Coverage
Does Spur test native mobile apps?

Yes - iOS and Android, using your build file. Tests are written once in natural language and run across web, iOS, and Android. Visit the Mobile QA page for more info.

Can Spur test safely on production?

Yes - teams run daily production validations and even live payment flows. You control environments (dev/staging/prod) per test plan.

Can Spur test AI features like chatbots, search, and recommendations?

Yes - the AI Feature Testing agent stress-tests conversational and dynamic experiences.

Does Spur support localization testing?

Yes - language, currency, and formatting validation across locales.

Security & Access
Does Spur need access to our codebase?

No. Spur tests from the outside, like a real user. You provide a URL (and a build file for native apps).

Is Spur SOC 2 compliant?

Yes, Spur is SOC 2 Type 2 compliant.

Do we need to whitelist Spur's IPs?

If your site uses bot protection, yes - we provide a small static IP list; most enterprise security teams approve it in a standard review.

Does Spur's testing traffic affect my site analytics?

Spur's testing agents visit your site to run automated tests, so their activity can appear in your analytics alongside real visitors. To keep your data clean, you can exclude them by filtering out Spur's User-Agent or our static outbound IP addresses in your analytics tool. Reach out to our team and we'll share the exact User-Agent and IP list so you can flag our traffic as ignored.

How is our data handled?

Configurable data retention and deletion policies, continuous vulnerability scanning and pen-testing, 99.9% uptime with multi-region redundancy.

Pricing
How does pricing work?

Annual plans based on test-run volume - not per seat, so your whole team (QA, PMs, engineers) can use Spur. Plans include parallel execution and support. Book a demo for a quote tailored to your release cadence.

What happens if we exceed our run allotment?

You're never auto-billed for overages - we flag usage and agree on any changes together. Annual allotments flex around peak periods.

Integrations & Support
Can we import our existing test cases?

Yes - Spur imports from test management tools (e.g., qTest, Zephyr) and converts cases to runnable tests in minutes.

Which CI/CD tools do you support?

Spur currently supports CI/CD integration through GitHub Actions. You can run Spur tests as part of your GitHub workflows (for example, on each pull request) and use status checks to block merges when tests fail, using GitHub’s branch protection rules.

What kind of support do you offer?

Every customer gets a dedicated Slack Connect channel with our team. Plans include unlimited test-creation support, and higher tiers include full test management.

How do I invite team members?

You can invite teammates to Spur from your team or workspace settings. Open your team settings, click Invite (or “Invite team members”), enter their email address, choose a role, and send the invite. They’ll get an email to create their account and will appear in your team list once they accept.

Where can I find documentation and guides?

You can follow step‑by‑step guides in our docs to write your first tests, and many teams also get a guided onboarding during their pilot.

Testimonials

Spur is our first big win company-wide in terms of implementing the use of AI agents. When we were able to share this with our greater team, everybody was almost in awe of what we were able to achieve.

Chloe Lu

Manager, E-commerce Quality Assurance, Living Spaces

“It made people’s jobs easier. No one was let go, and it created space to work on more interesting problems.”

‍

Katherine Maddox

Director of Quality Engineering, Wondr Health

“The more you use Spur, the smarter it gets. The smarter it gets, the faster you can write tests and find bugs.”

Solomon Ademuwagun

QA Manager, UncommonGoods

Spur is always right. We used to spend hours testing stuff manually. Now we just run Spur and never test ourselves.

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Thomas Bueler-Faudree

Co-founder, August

"After 15 years in QA, I’ve never ramped up faster. Spur’s AI gives detailed feedback that makes dev handoff easy — and their support eliminated the pain of UI automation. I’d pick Spur over any other framework, hands down"

Theodore Schachter

QA Engineer, Studeo

“Before Spur, we relied on Alona to manually spot check our widgets store by store. We knew that was not going to scale as we added more brands.”

Janvi Shah

Co-Founder & CEO, Hue

"From minute one we had the feeling that the tools and the agents Spur was leveraging were more advanced. With the demos, you were just writing test steps live and they were actually working."

Sebastian Villanueva

QA Engineer, OurPlace

"It is definitely one of the most useful things we have had, not just for QA but for our company in general. I would just suggest other fintech teams try it out. It would give you more security that your actual money and your actual processes and flows are being covered very comprehensively."

Denise Anne Gamboa

Product & Project Manager, OneSafe

We spent seven months trying to get Selenium running and still couldn’t get a stable suite. Spur got tests live in days without the constant breakage.

Vandana

Director of Engineering, Alo

Spur has significantly improved Wander’s testing capabilities. It has allowed us to iterate & ship so much faster with confidence!

Nathan Potter

CTO, Wander.com

Spur helped us build up our QA program. Cutting manual QA time down from days to 30 mins each release. It’s one of the major AI wins in our company, we went from 0 to 80% coverage in 1 month.

Pete Franco

President, LivingSpaces

Schedule A Demo

We invite you to try us out with our new Pilot Program

Book A Demo
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