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SoldComps VS cppq

Compare SoldComps VS cppq and see what are their differences

SoldComps

One API call, up to 240 real eBay sold prices. Real-time transaction data for resellers, flippers, and developers. Try the live demo free.

Rating
0 reviews
Pricing
Freemium $9 / Monthly (Starter Tier. 2000 requests / month)
Alternatives Is it good?
cppq

Simple, reliable & efficient distributed task queue for C++

Rating
0 reviews
Alternatives Is it good?
Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

SoldComps
cppq
Website sold-comps.com github.com
Pricing
Freemium $9 / Monthly (Starter Tier. 2000 requests / month) Official pricing
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Platforms
REST API Web
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Company Startup from Canada · 1 - 9 employees · 2026 —
Listed in
APIs eCommerce Web Scraping eCommerce Tools eCommerce Analytics Ebay Alerts +3
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About SoldComps and cppq

In their own words, as submitted to SaaSHub.

SoldComps
cppq

SoldComps is an eBay sold-listings API for resellers, flippers, and developers who need real completed-sale data for pricing. A single keyword search returns up to 240 sold listings straight from eBay's completed-sales results — the sold price recorded on each listing, plus shipping, currency,...

Read more about SoldComps

No description of cppq yet.

Features and specs

What each product offers, as listed by its team.

SoldComps 7 features
cppq 5 features
  • Sold comps per request
    Up to 240 completed eBay sales per keyword search
  • Response data
    Sold price, shipping, currency, condition, date, seller, item URL
  • eBay marketplaces
    8 regions: US, UK, DE, FR, IT, ES, CA, AU
  • Output & authentication
    Clean JSON from one API-key GET request — no OAuth or XML
  • Data freshness
    Fetched live per request — no cached or stale prices
  • Max Mode (bulk)
    Async auto-paginating sweeps for large pulls, with CSV output
  • Search filters
    Category, price range, condition, and date window
  • Lightweight C++ implementation
    cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
  • Redis-backed reliability
    Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
  • Inspired by proven design (asynq)
    The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
  • Native integration for C++ projects
    For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
  • Open source and inspectable
    Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

  • Limited maturity and battle-testing
    Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
  • Smaller community and ecosystem
    Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
  • Documentation gaps
    As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
  • C++ build and dependency complexity
    Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
  • Fewer built-in features and tooling
    cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

Analysis

An editorial look at what each product does well and who it suits.

SoldComps
cppq

Overall verdict

  • SoldComps appears to be a useful tool for buyers, sellers, and resellers seeking quick access to sold item comparables, primarily useful for pricing research on platforms like eBay, though users should verify data accuracy and coverage against official marketplace tools before relying on it for major decisions.

Why this product is good

  • Provides sold price data that can help users gauge fair market value for items
  • Can save time compared to manually searching through sold listings
  • May offer a simpler or more streamlined interface than default marketplace search tools
  • Useful for resellers, flippers, and collectors who need quick pricing references

Recommended for

  • Online resellers and flippers researching pricing before listing items
  • Casual sellers wanting a quick sense of an item's resale value
  • Collectors checking historical sale prices for specific items
  • Small business owners sourcing inventory who need to verify profitability

Overall verdict

  • cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.

Why this product is good

  • Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
  • Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
  • Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
  • Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
  • Good fit for projects already using Redis, minimizing the need for additional infrastructure
  • Straightforward API for enqueueing and processing background jobs in C++ applications

Recommended for

  • C++ developers needing a background job/task queue without adopting a heavyweight message broker
  • Projects already using Redis as part of their infrastructure
  • Small to medium-sized applications requiring asynchronous task processing
  • Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
  • Developers familiar with asynq (Go) looking for a similar pattern in C++
  • Prototyping or hobby projects where a minimal task queue solution is sufficient

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SoldComps
cppq
100% 100%
eCommerce
0% 0%
100% 100%
APIs
0% 0%
100% 100%
eCommerce Tools
0% 0%
100% 100%
Developer Tools
0% 0%

Questions & Answers

As answered by people managing SoldComps and cppq.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

SoldComps's answer

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

Who are some of the biggest customers of your product?

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

User comments

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