Find nearby schools
Start with a place, school level, and search radius.
SchoolScope integrations
Help families explore schools, neighborhoods, and tradeoffs with structured public data, visible sources, and questions worth asking.
“We may move near Culver City. Which elementary schools should we explore, and where could they lead?”
Start with a place, school level, and search radius.
See academic patterns, attendance, and community context.
Look at later grades; confirm assignments with the district.
Use cases
Bring school context into AI assistants, moving decisions, parent communities, and reporting. Each example shows a possible workflow using the live MCP tools.
Find schools, inspect the reported patterns, and help a parent decide what to ask next.
ParentWhat public elementary schools are near 90004?
Search & inspectFind schools around the ZIP, then open their profiles to see available measures and reporting years.
ParentWhich show improvement, and what should I ask on a visit?
Compare & investigateCompare reported cohort growth and attendance. Ask what changed during that period and how the school supports different learning needs.
find_schools → school_profile → compare_schoolsHelp families connect a location with nearby schools, district context, and later grades without confusing proximity with an enrollment assignment.
Search around a place or coordinates and keep elementary, middle, and high schools distinct.
Open profiles and district context. Show the source years behind school measures.
Direct the family to confirm boundaries, admissions, and transportation with the district.
find_schools + district_profile + feeder_pathA pre-assembled REST Context Pack is planned. Explore the proposal →
Support parent communities with a consistent starting point for school questions, comparisons, and visit planning.
Let families explore school profiles and compare two to four schools at the same level.
An authenticated user can read their SchoolScope watchlist through the saved-school tool.
Show where the data is incomplete and help families investigate their own priorities.
school_profile + compare_schools + my_watchlistPersonal watchlists require OAuth. Public school-data tools do not.
Use source metadata, comparable measures, and methodology resources to support reporting and analysis.
Find relevant schools or peers serving similar student populations. Keep level and peer-class rules visible.
Record the source agency and reporting year. Separate data vintage from the time a response was generated.
A reported trend does not establish why it happened. Use the findings to guide further reporting.
similar_schools + school_profile + methodology resourcesConnect a place with nearby schools and the later school path.
Explore schools on the map →Proximity does not establish enrollment eligibility. Check boundaries and admissions with the district.
Read academic patterns, school climate, and community context together.
Find a school profile →Follow an observation back to the evidence before deciding what it means for your family.
Keep the same measures aligned and surface what differs.
Explore school comparisons →A comparison helps explain tradeoffs. It cannot predict a child’s experience.
Coming soon · Decision Mode
Decision Mode is being designed to help families describe what matters, explore relevant school patterns, and build a shortlist they can inspect.
Preview only. These are prompts to consider, not an active questionnaire.
Organize family priorities, surface relevant reported patterns, and suggest questions to investigate.
Predict your child’s happiness, guarantee admission, or replace a school visit and your judgment.
No launch date promised.
A vocabulary for reported patterns
A school’s data rarely tells a single story. Independent findings make a recurring pattern easier to describe, while the profile shows the measures and tradeoffs behind it.
The average Exceeded rate across the reported grades and subjects is at least 50%.
The average Met + Exceeded rate across the reported grades and subjects is at least 65%.
The school’s aggregate cohort-change index clears our stronger-gains threshold. This is a school-level comparison across years, not tracking of individual children.
Strength across reading, math and official California growth. Each part needs evidence; missing information cannot count as a strength.
Reading and math results have improved across three reporting years. This describes a recent record, not a prediction or proof of what caused it.
For builders
Connect through Streamable HTTP, discover typed tools at runtime, and use methodology resources to keep definitions close to the answer. California school data is available now.
Start with find_schools, then compose the profile and comparison tools.
Source agency, data year, and methodology accompany structured school results.
Missing growth evidence is not zero growth. Coverage differs by school, measure, and reporting year.
Compare schools within a level and peer class. Scope Scores are normalized within each year; use underlying rates and state percentiles for trends.
Stay in the loop
Get an update when Decision Mode is ready to try. The guided experience is still in development.
No launch date promised. MCP school-data access is already available.
Sign in, then select “Join the Decision Mode list” to confirm your interest.