Text2SQL.AI
AI2sql
TTSQL
Vanna AI
AskYourDatabase
EXASOL
Lila
Generate SQL queries using text

SolidityScan
Securr
ChainGPT
Web3Antivirus.io
SmartContract UI
MicroAcquire
Hackerboard
Automate tool to identify vulnerabilities in smart contracts

Which is more popular?
Based on our record, Autsec seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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TSQ
Txt2SQL
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|---|---|---|
| Website | txt2sql.com | autsec.io |
| Pricing | — | |
| Company | 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

Text2SQL generates optimized SQL queries based on plain text and custom database schema
No description of Autsec yet.
What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Txt2SQL and Autsec. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking Txt2SQL since Feb 2024.
Hey! Congrats! Please feel free to use autsec to audit your smart contract. And if you are looking for a better auditing, please dm me if you would like to know more about Autsec AI(This has no free version). Source: over 3 years ago
It’s an automated tool that identify vulnerabilities in smart contracts and give recommendations to fix it.(That’s why I believe it can value more than $10k valuation) click here to check the website. Source: over 3 years ago
My product Autsec website help web3 companies to make their smart contracts safer by finding vulnerabilities in their smart contracts and give recommendation on how to fix the vulnerability. Source: over 3 years ago
When comparing Txt2SQL and Autsec, you can also consider the following products.


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The complete security infrastructure for your Web3 project
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TTSQL turns text to SQL, natural language to SQL, and text to query prompts into secure SQL across major databases.
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