SoldComps VS ContextForge.dev

SoldComps's answer

SoldComps returns real eBay sold listings — completed sales, not active listings or estimates — from a single API call.

One keyword search returns up to 240 sold items, each as clean JSON with:

• Sold price, shipping, and currency
• Condition and sale date
• Seller info and a direct item URL

Most tools lock this data behind a dashboard or require an approved eBay developer account. SoldComps hands it back as a simple authenticated GET request you can integrate in minutes — across 8 eBay marketplaces.

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

SoldComps's answer

It's built API-first for people who want the data, not another dashboard to log into.

No eBay developer account, OAuth flow, or approval process — just an API key and a GET request that returns clean JSON. What you get:

• Up to 240 completed sales per search, across 8 eBay marketplaces (US, UK, DE, FR, IT, ES, CA, AU)
• Fetched live, so results are never stale
• Filters for category, price, condition, and date window

Pricing is per search, not per result — a search that returns 10 items or 240 counts as one request — and there's a free tier with no credit card to start.

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

SoldComps's answer

SoldComps serves four main audiences:

• Resellers & flippers — price inventory from real sold comps before buying at thrift stores, estate sales, and storage auctions
• Developers — build price-comparison tools, repricers, or valuation features on clean eBay sold data instead of scraping it themselves
• Market researchers — analyze demand, price ranges, and sell-through from completed sales
• Estate-sale & liquidation operators — price large lots quickly

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

SoldComps's answer

SoldComps started from a simple, recurring frustration: eBay is the best source of real sold-price data, but actually getting that data is painful.

eBay's own API heavily restricts access to sold listings and gates it behind an approval process, and pulling comps by hand is slow and doesn't scale.

So SoldComps collapses all of that into one clean API call — pass a keyword, get back up to 240 completed sales as structured JSON — so resellers and developers get the pricing data they need without wrestling eBay's API or scraping it themselves.

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

SoldComps's answer

SoldComps is built in TypeScript — a Hono API backed by PostgreSQL, with a React web app. Billing runs on Stripe.

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.

SoldComps's answer

SoldComps is used across its core audiences rather than a few big-name accounts:

• Resellers and flippers pricing inventory before they buy
• Developers adding eBay sold-price data to their apps
• Market researchers analyzing demand and pricing trends
• Estate-sale and liquidation pros pricing large lots fast