diff --git a/Why-Flat-Rate-Beats-Pay-Per-Solve-CAPTCHA-Solving.md b/Why-Flat-Rate-Beats-Pay-Per-Solve-CAPTCHA-Solving.md
new file mode 100644
index 0000000..628ea7b
--- /dev/null
+++ b/Why-Flat-Rate-Beats-Pay-Per-Solve-CAPTCHA-Solving.md
@@ -0,0 +1 @@
+
CapSkip's API is designed to emulate the endpoints of major CAPTCHA-solving services. In practical terms, tools and scripts that already target other services can switch to CapSkip needing little more than a URL change and zero new code.
The developer API was built to mirror the request format of major CAPTCHA-solving services. In practical terms, scripts and scripts that currently call those services are able to point at CapSkip with minimal changes and zero new code.
Solid docs plus examples make onboarding faster. Between the setup guide to the API reference and the FAQ, most questions are answered before you filing a ticket, so the team puts time on shipping rather than firefighting.
Parallel solving becomes the point at which self-hosted solving truly pays off. Because there is no remote throttle based on spend, you can fan out work across many threads and still holding costs fixed.
Within reason, CAPTCHA solving powers legitimate use cases like QA, accessibility, and permitted data collection. Always worth honoring a site's terms and applicable law; handled that way, a good solver is another automation helper.
Proxies are essential for real scraping, and CapSkip plays nicely with them out of the box. Teams can send traffic however your stack requires while and still solving CAPTCHAs locally, so the footprint natural across sessions.
Web scraping remains one of the most common use cases teams reach for a CAPTCHA solver. One blocked page can halt an whole run, so clearing challenges on the fly lets throughput predictable. CapSkip fits such workflows neatly.
Test automation engineers hit CAPTCHAs as well, especially when testing live sites that mirror production. Instead of disabling these tests, teams are able to have CapSkip clear the challenge so the suite stays intact.
Inventory monitoring across many retailers involves frequent hits, and plenty of of those stores protect themselves with CAPTCHAs. Clearing the challenges locally keeps the data fresh and avoids spiraling bills.
Scaling your automation operation is much simpler once the bill no longer scale alongside volume. With flat-rate pricing and unlimited solves, teams can push concurrent workers without a spiraling bill.
reCAPTCHA v2 is one of the most common challenges on the web, covering the familiar checkbox to invisible and callback versions. CapSkip solves each of these locally in seconds, so your automation does not stall whenever one appears. Because it mirrors common solver APIs, wiring it in is straightforward.
Proxy support is essential for serious automation, and CapSkip works with proxies without fuss. Teams can send requests however your stack requires while still solving CAPTCHAs on your own machine, so the footprint consistent across sessions.
Google reCAPTCHA v2 is one of the most common challenges on the web, covering the classic checkbox to silent and callback versions. CapSkip handles each of these on your own machine in seconds, which means your automation does not grind to a halt every time one appears. Since it mirrors common solver APIs, hooking it up tends to be straightforward.
Turnstile is now a frequent gatekeeper on pages that want to block bots and skip traditional image puzzles. CapSkip solves Turnstile locally in a few seconds, covering the challenge modes. If you run automation that keep hitting Turnstile, this removes a major roadblock.
A Python codebase projects get a simple path with CapSkip, since it mirrors the API of popular solving services. In practice, [this Page](https://Git.trevorbotha.net/muoinnj6082517/9430803/wiki/A-Practical-Look-at-Local-CAPTCHA-Solving-on-Windows) means pointing existing code at CapSkip with little effort - nothing to rebuild.
The v3 flavor takes a different tack: instead of a clickable challenge, it scores interactions silently. Getting a usable score takes a solver that understands how v3 works, and CapSkip is designed to handle it, producing results quickly so your pipeline keeps moving.
Web scraping remains among the most common reasons teams adopt a CAPTCHA solver. One blocked request will stall an whole job, so clearing challenges automatically keeps the pipeline steady. CapSkip fits these workflows neatly.
Language coverage lets CapSkip work with CAPTCHAs in a wide range of locales, which matters the moment the targets span international. This coverage helps keep solve rates steady no matter where a site is based.
Turnstile performs lightweight challenges which aim to tell apart humans from bots without the usual puzzles. Clearing them reliably calls for a dedicated solver, and CapSkip covers Turnstile on your machine.
CapSkip's extension brings solving straight into the browser and Chromium-based browsers such as Brave and Edge. If you do manual tasks or quick automation, the extension handles challenges and needs no extra setup.
GeeTest challenges are notoriously awkward for bots, which is why running a solver that covers them is a real plus. CapSkip solves GeeTest on your machine, so scripts that rely on these sites keep running whenever the puzzle appears.
\ No newline at end of file