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mlsql VS SoldComps

Compare mlsql VS SoldComps and see what are their differences

mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Alternatives Is it good?
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?
PromptBrake
Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch. 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.

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Online Learning popularity
100% vs 0%
alternatives listed
1 vs 13

Base details

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

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

About mlsql and SoldComps

In their own words, as submitted to SaaSHub.

mlsql
SoldComps

No description of mlsql yet.

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

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
SoldComps 7 features

No features have been listed yet.

  • 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

Analysis

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

mlsql
SoldComps

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

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

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
mlsql
SoldComps
100% 100%
Online Learning
0% 0%
0% 0%
eCommerce
100% 100%
100% 100%
Web App
0% 0%
0% 0%
APIs
100% 100%

Questions & Answers

As answered by people managing mlsql and SoldComps.

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

Share your experience with using mlsql and SoldComps. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

mlsql 2 mentions
SoldComps 0 mentions
  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Tracking SoldComps since Jul 2026.

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