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Backmesh

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0 Reviews
Backmesh is an open-source BaaS for AI apps, allowing secure LLM API calls without exposing private keys using any LLM SDK.
Added on:
Social & Email:
Platform:
Nov 17 2024
AI Analytics Assistant
Large Language Models (LLMs)
Backmesh

Backmesh

0 Reviews
0
Backmesh
Backmesh is an open-source BaaS for AI apps, allowing secure LLM API calls without exposing private keys using any LLM SDK.
Added on:
Social & Email:
Platform:
Nov 17 2024
AI Analytics Assistant
Large Language Models (LLMs)

Backmesh Product Information

What is Backmesh?

Backmesh is a thoroughly tested Backend as a Service (BaaS) that offers an LLM API Gatekeeper, allowing your app to securely call LLM APIs. Using JWT authentication, configurable rate limits, and API resource access control, Backmesh ensures that only authorized users have access while preventing API abuse. Additionally, it provides LLM user analytics without extra packages, enabling identification of usage patterns, cost reduction, and improvements in user satisfaction.

Who will use Backmesh?

  • AI app developers
  • Software engineers
  • Tech startups
  • Data scientists

How to use the Backmesh?

  • Step1: Integrate Backmesh with your app
  • Step2: Configure JWT authentication
  • Step3: Set up per-user rate limits
  • Step4: Implement API resource access control
  • Step5: Start making secure LLM API calls
  • Step6: Utilize LLM user analytics for insights

Platform

  • web

Backmesh's Core Features & Benefits

The Core Features of Backmesh
  • JWT authentication
  • Configurable per-user rate limits
  • API resource access control
  • LLM user analytics
The Benefits of Backmesh
  • Ensures API security
  • Prevents API abuse
  • Protects sensitive resources
  • Provides user insights

Backmesh's Main Use Cases & Applications

  • Secure AI API integration
  • Preventing API abuse
  • Monitoring API usage
  • Enhancing user experience

FAQs of Backmesh

What is Backmesh?

Backmesh is an open-source BaaS for securely calling LLM APIs from your app without exposing private keys.

How does Backmesh protect LLM APIs?

Backmesh uses JWT authentication, configurable rate limits, and API resource access control to ensure secure API calls.

Is Backmesh suitable for large-scale applications?

Yes, Backmesh offers scalable options including enterprise-level solutions with unlimited requests and users.

Can I use Backmesh for free?

Yes, Backmesh offers a 15-day free trial for you to start building.

What platforms does Backmesh support?

Backmesh is a web-based solution.

How do I get started with Backmesh?

Integrate Backmesh with your app, configure JWT authentication, set up rate limits, and start making secure API calls.

Does Backmesh offer analytics?

Yes, Backmesh provides LLM user analytics to help you identify usage patterns and improve user satisfaction.

What pricing plans are available for Backmesh?

Backmesh offers various pricing plans including Starter, Pro, and Enterprise options based on your requirements.

Is self-hosting an option with Backmesh?

Yes, as Backmesh is open-source, self-hosting is always an option.

Where can I find documentation for Backmesh?

Documentation for Backmesh is available on its website under the Docs section.

Backmesh Company Information

  • Website: https://backmesh.com
  • Company Name: Backmesh
  • Support Email: contact@backmesh.com
  • Facebook: NA
  • X(Twitter): NA
  • YouTube: NA
  • Instagram: NA
  • Tiktok: NA
  • LinkedIn: NA

Backmesh Reviews

5/5
Do You Recommend Backmesh? Leave a Comment Below!

Analytic of Backmesh

Visit Over Time

Monthly Visits
0
Avg Visit Duration
00:00:00
Page Per Visit
0.00
Bounce Rate
0.00%
Dec 2024 - Feb 2025 All Traffic

Traffic Sources Traffic Sources

Mail
0.00%
Direct
0.00%
Search
0.00%
Social
0.00%
Referrals
0.00%
Paid Referrals
0.00%
Dec 2024 - Feb 2025 Desktop Only

Backmesh's Main Competitors and alternatives?

  • Firebase
  • Supabase
  • AWS Amplify

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Backmesh's Tags

BaaS
LLM API
API Security
User Analytics
JWT Authentication
Rate Limiting
API Access Control
Cost Reduction
User Satisfaction
API Usage Patterns
Backend Services
Secure APIs
Authorization Management
Data Protection
Scalable Backend
Cloud Services
Application Security
API Abuse Prevention
User Management
Performance Monitoring
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