ReLLM VS Spanly
Compare ReLLM VS Spanly, what is the difference between ReLLM and Spanly?
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Summarize
ReLLM summarize
ReLLM allows you to provide your users with secure long term context for LLMs such as chat GPT. We store context encrypted, and with user permissions baked in. The LLM is only provided context that the user talking to the LLM is allowed to see.
ReLLM Landing Page
Spanly summarize
Soon, more agents than humans will use your product via MCP. Spanly gives you full observability on the MCP server you ship: error rates, session traces, latency, client analytics, deploy alerts. Drop-in CLI or SDK. US & EU data residency. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run.
Spanly Landing Page
Compare Details
ReLLM details
| Categories | Large Language Models (LLMs), AI API, AI Chatbot, AI Developer Tools, AI Knowledge Management, AI Assistant |
| ReLLM Website | https://rellm.ai?utm_source=toolify |
| Added Time | May 15 2023 |
| ReLLM Pricing | 400K Tokens , 1K Tokens |
Spanly details
| Categories | Large Language Models (LLMs), AI Monitor, AI Developer Tools |
| Spanly Website | https://www.spanly.com?utm_source=toolify |
| Added Time | June 30 2026 |
| Spanly Pricing | -- |
Comparison of usage
How to use ReLLM?
Send your users requests to ReLLM, and ReLLM takes care of the chatGPT communications. ReLLM handles the message chain for you.
How to use Spanly?
To use Spanly, you can integrate it into your MCP server by dropping the open-source SDK into your TypeScript or Python code, wrapping your server binary using the Spanly CLI, or deploying it as a Docker sidecar. Once configured with your API key, it automatically captures and traces all MCP-shaped traffic, allowing you to view analytics, errors, and session traces directly via the web dashboard or from your IDE using Spanly's built-in MCP server.
Compare Pros between ReLLM and Spanly
Core features of ReLLM
- Secure context storage with encryption
- User permission management for context access
- ChatGPT communication handling
- Chat history management
Core features of Spanly
- Protocol-aware tracing capturing full JSON-RPC payloads (arguments, results, errors)
- Real-time session tracking grouping requests end-to-end
- Comprehensive performance metrics broken down by p50, p95, and p99 durations
- Automated error tracking and grouping across servers and clients
- US & EU regional data residency options with GDPR-friendly architecture
- IDE integration allowing engineers to search traces and triage errors from tools like Claude Code or Cursor
Compare Use Cases
Use cases for ReLLM
- Providing long-term memory for ChatGPT-powered applications with user-specific data access.
Use cases for Spanly
- Monitoring production MCP server error rates and performance bottlenecks
- Debugging failing tool calls by inspecting full payload arguments and response details directly
- Tracking down bad deployments by splitting performance metrics out by server and client versions
- Correlating AI agent interactions and sessions across complex multi-turn tool calling workflows
Different Plan between ReLLM and Spanly
ReLLM
Sorry, there are no data
Spanly
$0/mo
100,000 MCP requests included (soft cap with sampling). Includes 30 days data retention, 2 seats, and multi-region ingestion. Designed for teams evaluating Spanly on a single server.
$41/mo
Billed annually at $492. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 90 days data retention, unlimited seats, up to 10 alert rules, and public dashboards.
$210/mo
Billed annually at $2,520. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 12 months data retention, unlimited seats, up to 100 alert rules, public dashboards, SAML & OIDC single sign-on, audit logs, and priority support.
$125/mo
Locked for 12 months for the 2026 cohort. Includes 1,000,000 requests, all Business features, a direct Slack Connect channel with the founder, roadmap input, and early access to new features in exchange for a monthly feedback call.
Custom Pricing
For volumes above 30M requests/month. Offers a custom per-request rate below $5.00/100k, dedicated support, and custom retention configurations.
Compare Pricing
ReLLM Pricing
$0.25
$0.003
Spanly Pricing
Sorry, there are no data
ReLLM's traffic
ReLLM is the one with 0 monthly visits and 00:00:00 Avg.visit duration. ReLLM has a Page per visit of 0.00 and a bounce rate of 0.00%.
Visit Over Time
| Monthly Visits | 0 |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 0.00 |
| Bounce Rate | 0.00% |
Spanly's traffic
Spanly is the one with 0 monthly visits and 00:00:00 Avg.visit duration. Spanly has a Page per visit of 0.00 and a bounce rate of 0.00%.
Visit Over Time
| Monthly Visits | 0 |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 0.00 |
| Bounce Rate | 0.00% |
Traffic Sources
The 6 main sources of traffic to ReLLM are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Traffic Sources
The 6 main sources of traffic to Spanly are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Which is better: ReLLM or Spanly?
Spanly might be a bit more popular than ReLLM.As you can see, ReLLM has 0 monthly visits, while Spanly has 0 monthly visits. So more people choose Spanly. So the odds are that people will recommend Spanly more on social platforms.
ReLLM has an Avg.visit duration of 00:00:00, while Spanly has an Avg.visit duration of 00:00:00. Also, ReLLM has a page per visit of 0.00 and a Bounce Rate of 0.00%. Spanly has a page per visit of 0.00 and a Bounce Rate of 0.00%.
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