About This Site
Cited geospatial data API for AI agents and physical-world decisions Mireye is a geospatial infrastructure platform that connects AI agents to authoritative physical-world and environmental data through one API and MCP server. It enables agents to ask location-based questions, geocode addresses, retrieve cited geographic fields, measure proximity and driving distances, and request new data fields. Responses include structured values, source attribution, source URLs, fetch timestamps, confidence scores, and typed refusals when data quality is insufficient. Mireye covers US geospatial data from sources such as USGS, FEMA, NOAA, USDA, EPA, EIA, FCC, Census, NREL, and other federal, county, open, and licensed datasets. It supports applications including data center siting, renewable energy development, insurance underwriting, commercial lending, mortgage diligence, land evaluation, and infrastructure planning.
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ApiModels
APIMODELS is a unified AI model API that puts 100+ image, video, music, speech and LLM models behind one endpoint, one API key and one balance. Instead of opening an account with OpenAI, Google, Anthropic, ByteDance, Suno, ElevenLabs, MiniMax, xAI, DeepSeek, Alibaba and Zhipu separately — each with its own SDK, billing and approval process — you sign up once and switch models by changing a single string. Flagship image models, priced per image with no token math: • Nano Banana Pro (gemini-3-pro-image-preview) — $0.06 at 1K and 2K, $0.12 at 4K. Google lists the same model at $0.134 and $0.24, so that is 55% and 50% below list. Our $0.06 is also lower than Google's own Batch API price of $0.067 — and Batch makes you queue, while we return in real time. • Nano Banana 2 (gemini-3.1-flash-image-preview) — $0.05 at 1K and 2K, $0.08 at 4K, against Google's $0.067 / $0.101 / $0.151. That is 25% off at 1K, 50% off at 2K and 47% off at 4K. • GPT Image 2 (gpt-image-2) — a flat $0.025 per 1K image, $0.04 at 2K, $0.06 at 4K, with up to 16 reference images for multi-image editing. OpenAI bills this model by token; we bill a fixed price per image, and no OpenAI organization verification is required. The API is OpenAI-compatible, so existing SDKs, Cursor, Codex and LangChain code work by pointing base_url at apimodels.app. Billing is strictly pay-as-you-go with per-call prices published on every model page, starting at $0.001; there is no subscription, no monthly minimum and no expiring credits, and failed generations are never charged. New accounts get $0.10 of free credit with no card required.
One API key for 100+ AI models — image, video, music, speech and LLM. Nano Banana Pro at $0.06/image, 55% below Google's list price. Pay-as-you-go, no subscription.
EMix.ai: Lower-Cost AI APIs for Multimodal Development
Unified lower-cost AI API platform
Emix.ai is a developer-focused AI API platform that provides unified access to leading image, video, audio, chat, and enhancement models. It lets teams build with models like GPT, Gemini, Kling, Seedance, Claude, and Grok through one lower-cost API, with transparent usage-based pricing, free API credits, and no charges for failed generations.
Modelflare
Modelflare is a stable, lower-cost API gateway for GPT, Claude, Grok, GLM, Seedance, MiniMax, and other models, with routes as low as 1.5% of the official price. The same account opens Castaly, a studio for generating images and video, comparing models and prices, and remixing community work.
Modelflare is one API gateway for apps, agents, and coding tools. Keep the client you already use, point it at https://modelflare.dev/v1, and call many model families with the same key.
Lower price. Selected routes bill down to 1.5% of the official list price. A single top-up of US$20 unlocks GPT at that 0.015x rate.
Everyday traffic can stay on a lower-cost group; more sensitive jobs can use a balanced or higher-stability group. The pricing page shows what you pay against the official list price. Balance is in US dollars: one dollar of top-up is one dollar of credit. Castaly uses that same balance.
A key can list fallback groups in order. If the primary group is unavailable, the request moves to the next group. Each request records status, latency, token usage, and cost, whether it came from your own code or from Castaly.
Many models, one account. GPT uses OpenAI Chat Completions and the Responses API, including Codex-style clients. Claude uses Anthropic Messages, including Claude Code. Grok, GLM, Seedance, and MiniMax are on the same key, along with DeepSeek, Kimi, Owen, Gemini, and image and video models.
Castaly (https://castaly.modelflare.dev) is the studio on that account.
In the browser you generate images and video with Seedance, Kling, Wan, MiniMax, Seedream, and other models from the same catalog. You compare specifications and price, set the shot parameters, and remix a community work from its prompt and settings. Account, balance, API keys, and usage history are shared with Modelflare, so a result made in Castaly can also be requested through the API.
Create a key at https://modelflare.dev, set the base URL to https://modelflare.dev/v1, or start a shot in Castaly.
Key Features AI
Core Features
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
Advantages
Every returned value includes source attribution, a URL, fetch timestamp, and confidence level
Combines many authoritative geospatial and environmental sources in one API
Designed for direct integration with AI agents through an API and MCP server
Supports natural-language questions as well as structured data retrieval
Offers batch processing for many locations
Refuses weak or low-confidence matches instead of guessing
No overage billing; requests stop when the credit allowance is exhausted
Supports custom field requests when the catalog lacks required data
Useful presets for site selection, flood risk, terrain, utilities, solar, wind, and data centers
缺点：The main data catalog is limited to the United States
缺点：Drive-time analysis is the only feature explicitly covering both the US and Canada
缺点：Credits reset monthly and unused credits do not roll over
缺点：Usage pauses when the monthly allowance is reached
缺点：Parcel lookup is relatively expensive at 300 credits per successful match
缺点：Some data layers may not be real-time and freshness varies by source
缺点：Enterprise features, dedicated coverage, and SLAs require custom pricing
缺点：Field requests may require research and development before becoming available
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