What it does

Generic Newegg scrapers return rows of products. This actor returns decisions: complete PC builds where the GPU clears your VRAM floor, the CPU matches your NPU requirement, the motherboard socket actually fits the CPU, and the total respects your budget — with per-component customer ratings and live prices.

Built around AI workloads

Pick a goal — LLM training, image generation, local agent hosting, or a gaming/AI hybrid — and the actor adjusts GPU targets, budget ratios, RAM minimums, and SSD capacity to match. VRAM is parsed from listing data anchored on GDDR/HBM markers, so a “256GB SSD” never masquerades as video memory, and every build carries an honest ai_readiness tier from 3B-class to 70B+.

Each build also tells you what it excludes (PSU, cooler, case) with budget guidance, flags incomplete component sets, and ships as a structured record an agent or spreadsheet can consume directly. Pay-per-event pricing means you pay per assembled build — never for failed or empty runs.

Use cases

• Spec a local-LLM workstation for a budget without cross-referencing five spec sheets.

• Verify VRAM claims from listing data instead of trusting product titles.

• Let an AI agent answer "what can I build for $2,500?" with live Newegg prices via MCP.

• Track AI-capable build pricing over time on a schedule.

{ "record_type": "build", "total_price": 2349.99, "within_budget": true, "ai_readiness": "13B Ready", "build_quality": "complete", "components": { "gpu": { "name": "GeForce RTX 5080 16GB GDDR7", "price": 999.99, "vram_gb": 16, "rating": 4.5 }, "cpu": { "name": "Intel Core Ultra 9", "price": 549.99 } } }

Newegg AI-Build Sniper

What it does

Built around AI workloads

Use cases

Related actors

Micro Center In-Store AI-Build Sniper