Mireye VS Modelflare
Compare Mireye VS Modelflare, what is the difference between Mireye and Modelflare?
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Summarize
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
Modelflare summarize
Modelflare Landing Page
Compare Details
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 | -- |
Modelflare details
| Categories | AI API, AI Short Video Generator, Text to Video, Script To Video AI Generator, Image to Video, AI Video Generator, AI UGC Video Generator, AI Tiktok Video Generator, AI Stock Video Generator, AI Face Swap Video, AI Face Swap Generator, AI Cartoon Video Generator, AI Avatar Video Generator, AI Animated Video, Text to Image, Gender Swap AI, AI Person Generator, AI Image Generator, NSFW |
| Modelflare Website | https://modelflare.dev?utm_source=toolify |
| Added Time | October 01 2026 |
| Modelflare Pricing | -- |
Comparison of usage
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.
How to use Modelflare?
1. Create an account at https://modelflare.dev and add USD credits. One dollar of top-up is one dollar of balance. 2. Create an API key and choose a model group. A single top-up of US$20 unlocks GPT at 1.5% of the official list price (0.015x), and a single top-up of US$50 unlocks Claude at 3% of the official list price (0.03x), 3. Point an OpenAI-compatible client at https://modelflare.dev/v1 and send the request. Switch models by changing the model name. 4. Add fallback groups in order. If the primary group is unavailable, the request continues on the next group. 5. For images and video, open https://castaly.modelflare.dev, pick a model such as Seedance, Kling, Wan, MiniMax, or Seedream, set the shot, and generate. Castaly uses the same account, balance, and keys.
Compare Pros between Mireye and Modelflare
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
Core features of Modelflare
- One key for many models. GPT, Claude, Grok, GLM, Seedance, MiniMax, DeepSeek, Kimi, Owen, Gemini, and image and video models share one account.
- Change the base URL to https://modelflare.dev/v1 and keep your current client, including Codex and Claude Code.
- GPT from 1.5% of the official price after a single US$20 top-up. Pick a lower-cost or higher-stability group per key.
- Fallback groups run in order. Every request logs status, latency, tokens, and cost.
- Castaly generates images and video in the browser on the same balance, and the same models stay available through the API.
- Support nsfw image and video
- Claude from 3% of the official price after a single US$50 top-up. Pick a lower-cost or higher-stability group per key.
- Castaly generates images and video in the browser. Upload a reference face and place that person in a new still, a first frame, or a finished clip.
Compare Use Cases
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
Use cases for Modelflare
- Run Claude Code, Codex, or Cursor through one stable base URL instead of a separate key for each provider.
- Build an app or agent that switches among GPT, Claude, Grok, and GLM by changing the model name.
- Draft a Seedance, Kling, Wan, or MiniMax, or nfsw video in Castaly, then call the same model from your own script.
- Give each app its own key and check token usage and cost on every request.
Different Plan between Mireye and Modelflare
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.
Modelflare
10
20
100
200
Mireye's traffic
Mireye is the one with 9.5K monthly visits and 00:01:08 Avg.visit duration. Mireye has a Page per visit of 2.32 and a bounce rate of 39.40%.
Visit Over Time
| Monthly Visits | 9.5K |
| Avg·visit Duration | 00:01:08 |
| Page per Visit | 2.32 |
| Bounce Rate | 39.40% |
Modelflare's traffic
Modelflare is the one with 88.0K monthly visits and 00:08:31 Avg.visit duration. Modelflare has a Page per visit of 7.05 and a bounce rate of 24.96%.
Visit Over Time
| Monthly Visits | 88.0K |
| Avg·visit Duration | 00:08:31 |
| Page per Visit | 7.05 |
| Bounce Rate | 24.96% |
Geography
The top 2 countries/regions for Mireye are:United States 80.95%, India 19.05%
Top 2 Countries/regions
 | 80.95% |
 | 19.05% |
Geography
The top 5 countries/regions for Modelflare are:China 43.91%, United States 34.69%, Hong Kong, China 9.27%, Singapore 6.26%, Japan 3.75%
Top 5 Countries/regions
 | 43.91% |
| 34.69% |
 | 9.27% |
 | 6.26% |
 | 3.75% |
Traffic Sources
The 6 main sources of traffic to Mireye are:Direct 43.76%, Referrals 29.13%, vs_sourcesSocialOrganic 19.19%, vs_sourcesSearchOrganic 4.79%, vs_sourcesGenAi 2.99%, Mail 0.04%, vs_sourcesDisplayAds 0.03%, vs_sourcesAffiliate 0.02%, vs_sourcesSearchPaid 0.02%, vs_sourcesSocialPaid 0.01%
Direct | 43.76% |
Referrals | 29.13% |
vs_sourcesSocialOrganic | 19.19% |
vs_sourcesSearchOrganic | 4.79% |
vs_sourcesGenAi | 2.99% |
Mail | 0.04% |
vs_sourcesDisplayAds | 0.03% |
vs_sourcesAffiliate | 0.02% |
vs_sourcesSearchPaid | 0.02% |
vs_sourcesSocialPaid | 0.01% |
Traffic Sources
The 6 main sources of traffic to Modelflare are:Direct 67.01%, Referrals 23.21%, vs_sourcesSearchOrganic 5.61%, vs_sourcesSocialOrganic 1.95%, vs_sourcesDisplayAds 0.68%, vs_sourcesSearchPaid 0.47%, Mail 0.34%, vs_sourcesAffiliate 0.30%, vs_sourcesGenAi 0.26%, vs_sourcesSocialPaid 0.18%
Direct | 67.01% |
Referrals | 23.21% |
vs_sourcesSearchOrganic | 5.61% |
vs_sourcesSocialOrganic | 1.95% |
vs_sourcesDisplayAds | 0.68% |
vs_sourcesSearchPaid | 0.47% |
Mail | 0.34% |
vs_sourcesAffiliate | 0.30% |
vs_sourcesGenAi | 0.26% |
vs_sourcesSocialPaid | 0.18% |
Which is better: Mireye or Modelflare?
Modelflare might be a bit more popular than Mireye.As you can see, Mireye has 9.5K monthly visits, while Modelflare has 88.0K monthly visits. So more people choose Modelflare. So the odds are that people will recommend Modelflare more on social platforms.
Mireye has an Avg.visit duration of 00:01:08, while Modelflare has an Avg.visit duration of 00:08:31. Also, Mireye has a page per visit of 2.32 and a Bounce Rate of 39.40%. Modelflare has a page per visit of 7.05 and a Bounce Rate of 24.96%.
The main users of Mireye are United States, India, with the following distribution: 80.95%, 19.05%.
The main users of Modelflare are China, United States, Hong Kong, China, Singapore, Japan, with the following distribution: 43.91%, 34.69%, 9.27%, 6.26%, 3.75%.
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