PromptSpend vs AppTrack

Know the tab before you build. PromptSpend turns a representative AI conversation into an understandable cost forecast before the first production invoice arrives. Paste sample text or enter known token counts, choose your traffic, and see the cost per conversation, day, month, and year. COMPARE THE SAME WORKLOAD Select up to four LLMs and compare their estimated costs side by side. PromptSpend calculates pasted text separately for each model family, ranks the results, and shows the monthly difference from the lowest-cost option. SEE THE FULL COST STORY Explore input, output, prompt-cache writes, long-context tiers, reasoning assumptions, batch discounts, and conversation growth. The Cost Brief, sensitivity lab, and savings playbook help explain what changes the number and which levers may reduce it. CURRENT PRICES WITH EVIDENCE PromptSpend downloads a validated public catalog, shows when sources were checked, flags disagreements for review, and refuses to hide an expired offline cache behind a reassuring number. Open the evidence and public sync status whenever you want to inspect the work. OPTIONAL PRICE ALERTS Create and manage an email alert for price changes without creating an account. Your email address and alert choices are sent only when you opt in, and every alert includes a way to unsubscribe. Native push notifications are not part of this release. SHARE THE COST STORY Create a readable estimate, four-model comparison, CSV export, restorable website scenario, or Estimate Receipt. Shared results contain derived counts, assumptions, costs, and source dates—not your pasted prompt text. AUDIT AN EXISTING CONVERSATION PromptSpend Receipt provides visible instructions to send in your AI conversation. Import the assistant's structured result, review its estimates and limitations, and share an image or readable text. Imported results are processed locally and cleared when you leave the Receipt screen. LEARN AS YOU GO Short guides explain tokenization, context growth, caching, pricing provenance, and the limits of any estimate. Global Search and a guided tour make deep features easy to find. MAKE IT YOURS Choose system, light, or dark appearance; four accessible accent colors; and cool or warm canvas styles. The Market Pulse ticker can be paused and respects Reduce Motion. PRIVATE BY DESIGN Pasted text is processed on your device and is not uploaded or saved by PromptSpend. There is no native account, advertising SDK, behavioral analytics, cross-app tracking, or tracking identifier. Saved scenarios and appearance settings stay on your device. Optional alerts transmit only the email address and choices you submit for that feature. PromptSpend estimates published API charges from the workload and assumptions you provide. Separately billed cache-storage time is disclosed but excluded unless a retention duration is known. Actual bills, model quality, latency, availability, regional pricing, negotiated rates, and provider behavior can vary. Validate a representative workload before making a production decision.

AppTrack is an analytics app for developers that brings App Store Connect data into one clear view — so you can see how your apps are doing at a glance. Check sales, downloads, updates, page views, impressions, conversion rate, ASO, reviews, and breakdowns by country and OS, all in a single dashboard. If you ship multiple apps, AppTrack compares each app’s health across growth, revenue, ASO, reviews, and attention needed — and surfaces what to check first. Spend less time opening App Store Connect app by app, and fewer important changes or issues go unnoticed. Key features: • Sales, downloads, page views, and impressions • Period comparisons for growth and revenue • Traffic sources and ASO performance • Review counts, ratings, and content • Multi-app health ranking • Priority view for apps that need attention • Home Screen widgets • Dark Mode and Café Mode See where your apps stand — and what to do next — with AppTrack. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/