Where you can ride a robotaxi today, city by city.
Scored across 11 tools
Each tool targets a clearly distinct resource and action: courses, listings, products, categories, places, sources, and stats. The only close pair, get_listing vs. search_listings, is separated by slug lookup vs. text/place/category search. No two tools appear to do the same thing.
All tools follow a consistent snake_case verb_noun pattern: get_course, list_courses, search_listings, list_product_categories, get_stats. The convention is predictable across every tool.
With 11 tools, the set is well-scoped for a read-only public content API covering robotaxi listings, academy courses, affiliate products, and supporting metadata. Each tool maps to a distinct browsing need without obvious filler.
The surface covers listing and detail retrieval for the core entities (courses, listings, products) plus categories, places, sources, stats, and search. Minor gaps remain, such as no get_place/get_category/get_source detail tools and no course/product search, but agents can work around these via list tools.
Get one published academy course by its slug, with its objectives, lessons and FAQ. Exam questions and answers are never returned.
Inputs: slug (required).
Get one published robotaxi service by its slug.
Inputs: slug (required).
Get one affiliate product by its slug, with its page and outbound link.
Inputs: slug (required).
Get the number of published robotaxi services, places and categories, and when the data last changed.
Inputs: no named parameters.
List categories with their robotaxi service counts.
Inputs: no named parameters.
List the published academy courses with their level, length, pass mark and certificate validity.
Inputs: level, limit.
List countries, regions and cities that have robotaxi services.
Inputs: no named parameters.
List the product categories with their product counts.
Inputs: no named parameters.
List the affiliate products, with the price each had on the day it was checked. Filter by product category.
Inputs: category.
List where the robotaxi service data comes from, with the license and refresh of each source.
Inputs: no named parameters.
Search published robotaxi services by text, place and category.
Inputs: q, city, sort, limit, +4 more.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Location understanding for AI agents: know where, then navigate there. Beta: contiguous US.
Mobility, geocoding and nearby urban services for AI agents.
Verified real-time places and events for AI agents. SF Bay Area live; more metros rolling out.
Agent-accessible map of global supply & demand: jobs, homes, cars & services your AI can act on
Add one secure layer between your agents and this server.