Compatible with every major AI agent and IDE
Lookup place id on Pelias Geocoder
Irreversibly vaporize explicit validations extracting rich schema properties
Reverse distance limit on Pelias Geocoder
circle.radius` checking exactly how far from the point Pelias should search. Retrieve the exact structural matching verifying Reverse alternatives
Reverse geocode on Pelias Geocoder
Perform structural extraction of properties driving active OSM Pins
Search autocomplete on Pelias Geocoder
Retrieve explicit Cloud logging tracing explicit Keypress constraints
Search bounding box on Pelias Geocoder
rect` figuring out what geometries strictly fall inside the map coordinate rectangle. Dispatch an automated validation check routing explicit Box arrays
Search country filter on Pelias Geocoder
country` fetching localized boundaries matching ISO 3166 limits. Identify explicit tracking networks dropping extraneous international domains
Search focus bias on Pelias Geocoder
point` enforcing Pelias to prioritize results physically closer to the GPS trace. Inspect deep internal arrays mitigating specific Center biases
Search geocode on Pelias Geocoder
Identify bounded routing spaces inside the Headless Pelias Maps
Search layer filter on Pelias Geocoder
Enumerate explicitly attached structured rules exporting active GIS datasets
Structured geocoding on Pelias Geocoder
g address=X region=Y safely isolating terms. Identify precise active arrays spanning native Location limits
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How explicitly strict are the parameter bounds when I invoke bounded reversed logistics natively?
You map explicit limits using standard decimal notation gracefully parsing constraints natively: lat=40.73 and lon=-73.93. The limits parse efficiently checking the closest explicit street JSON outputs securely returning structured bounded nodes.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Pelias Geocoder
Securely interface Claude Code, ChatGPT, and Cursor with the Pelias Geocoder API through semantic routing and standardized natural language triggers.
AI Semantic Routing for geocoding
Use Pelias Geocoder to interface with geocoding via natural language. The toolkit provides Cursor with LLM-friendly schemas for developer tools tasks.
ChatGPT reverse geocoding Automation
Integrate the Pelias Geocoder server to handle reverse geocoding requests natively. It provides the schemas required for ChatGPT and Cursor to manage developer tools data.
Pelias Geocoder. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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