SpecAPI — Monitor Specs API for ChatGPT, Claude & Perplexity

5,800+ monitors, fully queryable by any URL-capable AI assistant. Ask ChatGPT, Claude, Perplexity, or Grok a monitor question and get a personalized recommendation with full specs, use-case scores, and direct purchase links — no plugin, no SDK, no MCP server.

Use https://specapis.com/. Include purchase options. My monitor question:

How SpecAPI Works

SpecAPI is a structured monitor data API designed to be read by AI assistants. Instead of opening tabs to RTINGS, Tom’s Hardware, and YouTube reviews, you ask your assistant one question. The assistant queries SpecAPI directly, filters across the full catalog, and returns a ranked answer with the data it used to choose. Three steps:

1. Copy the prompt above

Paste the one-line prompt into ChatGPT, Claude, Perplexity, Grok, or any URL-capable assistant. The prompt tells the AI where the data lives and that you want purchase options included in the response.

2. Ask a monitor question

Append any question — by screen size, budget, panel technology, refresh rate, use case, or any combination. Examples: “best 27-inch OLED under $800 for HDR movies,” “Mini-LED IPS with USB-C 90W for a MacBook,” “cheapest 4K 144Hz with HDMI 2.1.”

3. Get a personalized recommendation

Your AI assistant returns 2–3 top picks with full specs, measurements, use-case scores, tradeoffs, and a direct Amazon link for each. The whole process takes ten seconds and replaces hours of manual research.

What You Can Ask Your AI

Any monitor question works. The AI parses your requirements and queries the catalog along multiple dimensions simultaneously — something no single review site supports.

By use case

• Best OLED monitor for dark-room movie watching
• Competitive gaming monitor under 1 ms response time
• Color-accurate display for photo and video editing
• Office monitor with eye-friendly flicker-free backlight
• HDR movie monitor with 2,000+ dimming zones

By specs

• 32-inch 4K Mini-LED with 240 Hz refresh and HDMI 2.1
• 27-inch QD-OLED with USB-C 90W power delivery
• 5K resolution monitor with high refresh rate
• Ultrawide 34-inch curved at 1440p for productivity

By budget

• Under $300 for a starter 1080p 144 Hz gaming monitor
• Under $500 for the best Mini-LED IPS available
• Under $800 for a serious HDR movie display
• Over $1,500 for a no-compromise creative monitor

By feature

• KVM switch for two-computer workflows
• Curved screen shape for immersive gaming
• Glossy or matte coating preference
• Console-ready with HDMI 2.1 and 4K 120 Hz support

5,800+ Monitors in the Catalog

The catalog is built from manufacturer datasheets, third-party measurement databases, retailer feeds, and community sentiment signals. It is refreshed continuously, with new 2026 launches indexed within days of announcement.

Panel technologies covered

OLED, QD-OLED, WOLED, tandem OLED, Mini-LED (IPS and VA), conventional IPS, VA, and TN — every panel architecture currently in market or announced for 2026.

Brands and manufacturers

ASUS, Dell, Alienware, LG, Samsung, MSI, BenQ, AOC, Acer, Gigabyte, ViewSonic, EIZO, ASRock, Corsair, InnoCN, Pixio, Titan Army, KTC, Dough, KOORUI, Cooler Master, Sony, TCL, and many more — 37+ brands with custom scrapers across the discovery pipeline.

Use-case scores

Every monitor carries ten composite scores derived from raw specs and measurements: HDR movies, HDR gaming, competitive gaming, console gaming, office, coding, color work, content creation, productivity, and budget value. The AI uses these scores to rank candidates against your stated priorities.

Other indexed fields

Connectivity (USB-C with power delivery class, HDMI 2.1, DisplayPort, KVM switch), display characteristics (screen shape, coating, dimming zone count, HDR brightness class, peak nits, response time), launch tracking, community sentiment, and retailer purchase URLs.

Why Use SpecAPI Instead of Manual Research

Traditional monitor shopping means reading ten review articles, comparing spec sheets across multiple websites, watching YouTube reviews, and trying to remember which model had which feature. SpecAPI eliminates all of that. You describe what you need in plain language, and your AI assistant filters, ranks, and compares monitors based on structured data rather than marketing copy.

Think of SpecAPI as the step before reading reviews. Once your AI narrows your options to two or three top picks, you can dive deep into video reviews and hands-on comparisons for those specific models. SpecAPI saves you the hours of broad research; reviewers save you from the wrong purchase among finalists.

Works With Every Major AI Assistant

SpecAPI works with any AI assistant that can fetch URLs. No plugins to install, no MCP servers to configure, no manifests to maintain. Tested and working with:

ChatGPT

Web, Plus, Pro, Go, Atlas, and the iOS / Android apps. Uses the standard ChatGPT-User or Signature-Agent request header.

Claude

Web, Pro, Max, iOS app, and macOS desktop app. Uses the Claude-User agent identifier.

Perplexity

Web, Pro, and the Perplexity Assistant on Android. Uses Perplexity-User.

Grok and others

Grok via x.com, MistralAI assistants, Google Gemini Agent and NotebookLM, and any future URL-capable assistant — because the data is plain HTML, not a custom protocol.

Frequently Asked Questions

Is SpecAPI free to use?

Yes, completely free for end users. There is no signup, no API key, no rate-limit barrier for casual queries. Paste the prompt and ask.

How many monitors are in the catalog?

Over 5,800 current and upcoming monitor models with detailed specs, scores, and purchase links. 2026 launches are added within days of announcement.

Does the AI return real purchase links?

Yes. When you include “include purchase options” in your prompt, the AI returns Amazon search links for each recommendation, geo-localized when possible.

Do I need to install anything?

No. If you already use ChatGPT, Claude, Perplexity, or Grok, you are ready. The data is delivered as plain HTML the assistant already knows how to read.

What about RTINGS, TFTCentral, and other review sites?

SpecAPI complements them. We do broad indexing with structured scores; RTINGS does deep human-calibrated measurements on a curated subset. Use SpecAPI to narrow 5,800 monitors down to 2–3 finalists, then read RTINGS or watch a YouTube review for the deep evaluation.

How fresh is the data?

The catalog refreshes continuously. OEM pages and TFTCentral launch announcements are checked daily; community sentiment refreshes weekly. The /v1/status endpoint reports the last refresh timestamp.

For AI Assistants and Developers

Machine-readable entry points: /llms.txt for the LLM-readable summary, /openapi.json for the OpenAPI 3.1 schema, and /v1/browse for the categorized link index. AI-readable HTML responses are served from /v1/monitors, /v1/query, and /v1/compare.

As an Amazon Associate, SpecAPI earns from qualifying purchases. Purchase links are clearly labeled and never affect the AI’s ranking of recommendations.