LLM Gateway VS Mireye
Compare LLM Gateway VS Mireye, what is the difference between LLM Gateway and Mireye?
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Summarize
LLM Gateway summarize
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
LLM Gateway Landing Page
Mireye summarize
Mireye is an infrastructure platform that connects AI agents to real-world geographic and environmental data through a single API and MCP server. It provides cited answers to location-based questions, pulling from authoritative sources such as USGS, FEMA, NOAA, and EPA. Agents can query elevation, flood zones, soil types, utility infrastructure, and dozens of other physical-world signals for any US coordinate. Mireye supports major AI platforms including Claude, ChatGPT, Gemini, and custom agents, and returns structured responses with source attribution, fetch timestamps, and confidence scores. It is backed by Y Combinator and targets sectors such as data center siting, renewable energy, insurance underwriting, and commercial lending.
Mireye Landing Page
Compare Details
LLM Gateway details
| Categories | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models, Open Source AI Models |
| LLM Gateway Website | https://llmgateway.io?utm_source=toolify |
| Added Time | July 04 2025 |
| LLM Gateway Pricing | -- |
Mireye details
| Categories | AI API, AI Agent, AI Developer Tools, AI For Data Analytics |
| Mireye Website | https://www.mireye.com?utm_source=toolify |
| Added Time | September 15 2026 |
| Mireye Pricing | -- |
Comparison of usage
How to use LLM Gateway?
To use LLM Gateway, users simply change their existing API endpoint to `https://api.llmgateway.io/v1` and use their LLM Gateway API key. It is compatible with the OpenAI API format, allowing for seamless migration and integration with existing code in various languages and frameworks like Python, TypeScript, Next.js, Java, Rust, Go, PHP, and Ruby. LLM Gateway then routes the request to the appropriate provider while tracking usage and performance.
How to use Mireye?
Connect an AI agent to Mireye through its API or MCP server. Use /v1/geocode to convert a US address into coordinates, /v1/lookup to retrieve parcel and location context, /v1/fetch to request cited fields or presets, /v1/ask to ask natural-language questions, and /v1/proximity to calculate distances, drive times, nearest infrastructure, or labor sheds. Each response provides structured results with citations, timestamps, confidence levels, and usage information. If a required field is unavailable, submit a request through /v1/field-requests.
Compare Pros between LLM Gateway and Mireye
Core features of LLM Gateway
- Unified API Interface (OpenAI API compatible)
- Multi-provider Support
- Usage Analytics (requests, tokens, response times, costs)
- Performance Monitoring
- Secure Key Management
- Self-hosted or Cloud deployment
- Model Orchestration (dynamic routing to optimal AI model)
- Simple Integration
Core features of Mireye
- Cited physical-world and environmental data for US locations
- API and MCP integration for AI agents
- Natural-language location questions through /v1/ask
- Address geocoding with stated accuracy and confidence
- Parcel, county, census, elevation, flood, soil, utility, and infrastructure lookups
- Batch field retrieval with source URLs, fetch timestamps, and confidence scores
- Driving distance, proximity, nearest-infrastructure, screening, and labor-shed analysis
- Field request workflow for data not yet available in the catalog
- Support for Claude, ChatGPT, Gemini, Cursor, Grok, Copilot, DeepSeek, and custom agents
- Typed refusals for low-confidence matches and unsupported requests
Compare Use Cases
Use cases for LLM Gateway
- Managing and routing LLM requests across various providers through a single API.
- Tracking and analyzing LLM usage, costs, and performance.
- Migrating existing OpenAI API integrations to support multiple LLM providers.
- Deploying a self-hosted LLM proxy for full data control and no usage limits.
- Comparing different LLM models' performance and cost-effectiveness.
Use cases for Mireye
- Screen data center sites for slope, flood zones, transmission lines, substations, and interconnection queues
- Evaluate renewable energy sites using solar irradiance, slope, aspect, soils, land cover, and grid proximity
- Support insurance underwriting with flood zones, wind risk, coastal exposure, wetlands, and hazard data
- Perform mortgage and title diligence using elevation, wetlands, watershed, parcel, and hazard information
- Assess residential land using parcel boundaries, acreage, floodplain overlap, transmission distance, and wetlands
- Evaluate commercial lending collateral using access, utilities, flood zones, slope, and soil shrink-swell data
- Enrich large address lists with geocoded coordinates and cited geographic attributes
- Build AI-powered site-selection and physical-world decision-support applications
Different Plan between LLM Gateway and Mireye
LLM Gateway
Free
100% free forever, full control over your data, host on your infrastructure, no usage limits, community support, regular updates.
$0
Access to ALL models, pay with credits, 5% LLMGateway fee on credit usage, 3-day data retention, standard support.
$50 / month
Use your own API keys without surcharges, NO fees on credit usage, 90-day data retention, Advanced Analytics, Team Members (coming soon), Priority support.
Custom
Everything in Pro, Advanced security features, Custom integrations, On-boarding assistance, Unlimited data retention, 24/7 premium support.
Mireye
$0
5,000 credits per month, 20 requests per minute, one field request at signup, 300 credits per parcel lookup, no overage billing, and community support.
$19 per month
25,000 credits per month, 60 requests per minute, one field request per month, 300 credits per parcel lookup, no overage billing, and email support.
$99 per month
120,000 credits per month, 300 requests per minute, three field requests per month, 300 credits per parcel lookup, no overage billing, email support, and a shared Slack channel.
Custom
Custom volume pricing, custom SLAs and SLOs, dedicated market coverage, priority support, and direct access to the Mireye team.
LLM Gateway's traffic
LLM Gateway is the one with 177.4K monthly visits and 00:02:18 Avg.visit duration. LLM Gateway has a Page per visit of 3.44 and a bounce rate of 37.82%.
Visit Over Time
| Monthly Visits | 177.4K |
| Avg·visit Duration | 00:02:18 |
| Page per Visit | 3.44 |
| Bounce Rate | 37.82% |
Mireye's traffic
Mireye is the one with 8.0K monthly visits and 00:01:20 Avg.visit duration. Mireye has a Page per visit of 1.99 and a bounce rate of 58.83%.
Visit Over Time
| Monthly Visits | 8.0K |
| Avg·visit Duration | 00:01:20 |
| Page per Visit | 1.99 |
| Bounce Rate | 58.83% |
Geography
The top 5 countries/regions for LLM Gateway are:South Korea 38.57%, Thailand 8.53%, United States 5.78%, India 4.24%, Spain 3.89%
Top 5 Countries/regions
 | 38.57% |
 | 8.53% |
 | 5.78% |
 | 4.24% |
 | 3.89% |
Geography
The top 2 countries/regions for Mireye are:United States 71.73%, India 28.27%
Top 2 Countries/regions
| 71.73% |
| 28.27% |
Traffic Sources
The 6 main sources of traffic to LLM Gateway are:Direct 65.13%, vs_sourcesSearchOrganic 21.61%, Referrals 7.38%, vs_sourcesSocialOrganic 4.06%, vs_sourcesGenAi 0.97%, Mail 0.54%, vs_sourcesSearchPaid 0.30%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 65.13% |
vs_sourcesSearchOrganic | 21.61% |
Referrals | 7.38% |
vs_sourcesSocialOrganic | 4.06% |
vs_sourcesGenAi | 0.97% |
Mail | 0.54% |
vs_sourcesSearchPaid | 0.30% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Traffic Sources
The 6 main sources of traffic to Mireye are:Direct 36.80%, vs_sourcesSearchOrganic 21.36%, Referrals 17.52%, vs_sourcesSocialOrganic 11.27%, vs_sourcesDisplayAds 3.69%, vs_sourcesAffiliate 2.94%, Mail 2.93%, vs_sourcesGenAi 1.35%, vs_sourcesSearchPaid 1.25%, vs_sourcesSocialPaid 0.88%
Direct | 36.80% |
vs_sourcesSearchOrganic | 21.36% |
Referrals | 17.52% |
vs_sourcesSocialOrganic | 11.27% |
vs_sourcesDisplayAds | 3.69% |
vs_sourcesAffiliate | 2.94% |
Mail | 2.93% |
vs_sourcesGenAi | 1.35% |
vs_sourcesSearchPaid | 1.25% |
vs_sourcesSocialPaid | 0.88% |
Which is better: LLM Gateway or Mireye?
LLM Gateway might be a bit more popular than Mireye.As you can see, LLM Gateway has 177.4K monthly visits, while Mireye has 8.0K monthly visits. So more people choose LLM Gateway. So the odds are that people will recommend LLM Gateway more on social platforms.
LLM Gateway has an Avg.visit duration of 00:02:18, while Mireye has an Avg.visit duration of 00:01:20. Also, LLM Gateway has a page per visit of 3.44 and a Bounce Rate of 37.82%. Mireye has a page per visit of 1.99 and a Bounce Rate of 58.83%.
The main users of LLM Gateway are South Korea, Thailand, United States, India, Spain, with the following distribution: 38.57%, 8.53%, 5.78%, 4.24%, 3.89%.
The main users of Mireye are United States, India, with the following distribution: 71.73%, 28.27%.
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