Backmesh provides a secure and scalable Backend as a Service (BaaS) solution for AI applications, enabling secure LLM API calls with built-in user analytics.
Developer & AI Platformbackmesh.comTracked since 2026-08-211 discovery source
481Backlinks
75Referring domains
19Domain authority
-6.7%Referring domains · 90 days
Authority & distribution
How strong is Backmesh’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
481Current snapshot
Referring domains
75Current snapshot
Authority
19Domain authority · category median 22
90-day move
-6.7%Referring domains, last 90 days
At 19, Backmesh sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Backmesh”
Backmesh provides a secure and scalable Backend as a Service (BaaS) solution for AI applications, enabling secure LLM API calls with built-in user analytics.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://backmesh.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Backmesh.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Backmesh solve for developers?
Backmesh solves the problem of accidentally exposing LLM API keys in applications, which can lead to costly leaks. It provides a secure backend to hide secret keys and prevent unauthorized access, avoiding thousands of dollars in potential API costs.
Who is the primary audience for Backmesh?
Backmesh is for developers and companies building AI applications that need to make secure calls to LLM APIs like OpenAI. The product is categorized as a developer tool for AI platforms and targets users requiring backend infrastructure to manage and secure their AI services.
What are the core features and security measures offered by Backmesh?
Backmesh offers JWT authentication to verify requests, configurable per-user rate limits to prevent abuse, and API resource access control to protect sensitive data like Files and Threads. It is an open-source solution that uses military-grade encryption to protect LLM API keys.
What kind of analytics does Backmesh provide for AI applications?
Backmesh provides built-in LLM user analytics without requiring additional packages. All LLM API calls are instrumented, allowing developers to identify usage patterns, reduce costs, and improve user satisfaction within their AI applications.
How is Backmesh priced or packaged?
The homepage indicates that Backmesh offers a free trial. The product is also described as open-source, which typically implies a free core offering, though specific paid tiers or enterprise pricing are not detailed in the provided evidence.
What is Backmesh?
Backmesh is an open-source Backend as a Service (BaaS) solution designed to secure LLM API calls for AI applications. It acts as a protective gateway that hides secret API keys from end-users and provides built-in analytics.
Behind the lock
Unlock full Backmesh intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured