Coming Soon

Build with SchoolScope

The school data API for real estate platforms, EdTech apps, and AI agents. Multi-dimensional scores, growth trajectories, per-pupil spending, and feeder patterns— one call. Typed SDK clients for TypeScript and Python.

California data live now. Full national coverage coming soon.

API pricing

Start free. Upgrade when you scale.

Free

Prototypes, side projects, exploration

School directory + Scope Score + archetype
1,000 calls/day
Autocomplete endpoint
Typed SDK clients (TS + Python)
Attribution required

Starter

$49/mo

Individual agents, small apps

Everything in Free
5,000 API calls/month
No attribution required

Pro

$149/mo

Real estate apps, EdTech platforms

Everything in Starter
Score Factors (6 weighted dimensions)
Per-pupil spending + breakdown
Growth trajectory (G3→G5)
Feeder patterns (K→12)
Nearby schools by lat/lng
25,000 calls/month

Enterprise

$499/mo

National platforms, data aggregators

Everything in Pro
Boundary data (GeoJSON)
Historical trends (3+ years)
Quarterly bulk CSV + JSON downloads
Custom webhooks
99.9% SLA + dedicated support
100,000 calls/month

AI Agent

$29/mo

AI-native apps, chatbots, LLM integrations

Pro-tier data access
Structured JSON for LLM consumption
Tool-calling schemas (GPT/Claude/Gemini)
OpenAPI spec
10,000 calls/month

Endpoints

Type-safe RPC with provided clients. Click any endpoint to see its response shape.

GET/api/v1/schools/:slugFull school profile: score, archetype, spending, demographics▶

{ "slug": "la-canada-elementary-4633", "name": "La Cañada Elementary", "scope_score": 90.1, "state_percentile": 96, "archetype": { "id": "finisher", "label": "High Ceiling" }, "score_factors": [ { "name": "Exceeded Standard", "value": 63.2, "weight": 0.30, "state_avg": 21.8 }, { "name": "Met + Exceeded", "value": 88.1, "weight": 0.20, "state_avg": 47.6 } ], "spending": { "per_pupil": 12648, "instruction_pct": 62.1 }, "demographics": { "enrollment": 485, "student_teacher_ratio": 22.1 } }

GET/api/v1/schools/searchSearch by name, city, ZIP, or district▶

{ "results": [ { "slug": "canyon-charter-4521", "name": "Canyon Charter Elementary", "scope_score": 82.4, "archetype": "finisher", "city": "Santa Monica" } ], "total": 12 }

GET/api/v1/schools/nearbyBy lat/lng + radius▶

{ "schools": [ { "slug": "clover-ave-elementary-1234", "name": "Clover Ave Elementary", "scope_score": 71.3, "distance_mi": 0.4, "archetype": "accelerator" } ], "center": { "lat": 34.0522, "lng": -118.2437 } }

GET/api/v1/schools/:slug/scoresScore Factors: 6 weighted dimensions with state comparisons▶

{ "scope_score": 90.1, "factors": [ { "name": "Exceeded Standard", "value": 63.2, "weight": 0.30, "state_avg": 21.8, "impact": "high" }, { "name": "Growth (G3\u2192G5)", "value": 1.2, "weight": 0.15, "state_avg": -0.3, "impact": "moderate" }, { "name": "Chronic Absenteeism", "value": 4.1, "weight": 0.15, "state_avg": 26.7, "impact": "high" } ] }

GET/api/v1/schools/:slug/feederK→12 feeder trajectory▶

{ "school": "la-canada-elementary-4633", "feeds_to": [ { "slug": "la-canada-middle-4634", "level": "middle", "scope_score": 87.2 } ], "feeds_from": [] }

GET/api/v1/context-packPre-assembled neighborhood data for a location▶

{ "location": "La Cañada Flintridge, CA", "elementary": [ // top schools by Scope Score ], "middle": [ ... ], "high": [ ... ], "district": { "name": "La Cañada USD", "avg_score": 84.6 } }

GET/api/v1/autocompleteType-ahead for schools + districts▶

{ "suggestions": [ { "type": "school", "name": "La Cañada Elementary", "slug": "la-canada-elementary-4633" }, { "type": "district", "name": "La Cañada USD" } ] }

Quick start

Install the typed client. Full autocomplete, zero guessing.

npm install @schoolscope/sdk

import { SchoolScope } from "@schoolscope/sdk"; const ss = new SchoolScope({ apiKey: "sk_live_..." }); // Fully typed — autocomplete on every field const school = await ss.schools.getBySlug("la-canada-elementary-4633"); console.log(school.scope_score); // 90.1 console.log(school.archetype.label); // "High Ceiling" console.log(school.score_factors); // 6 weighted dimensions // Search with filters const results = await ss.schools.search({ q: "Santa Monica", level: "elementary" }); // Nearby schools by coordinates const nearby = await ss.schools.nearby({ lat: 34.05, lng: -118.24, radius: 3 });

pip install schoolscope

from schoolscope import SchoolScope ss = SchoolScope(api_key="sk_live_...") # Fully typed with dataclass responses school = ss.schools.get_by_slug("la-canada-elementary-4633") print(school.scope_score) # 90.1 print(school.archetype.label) # "High Ceiling" # Search results = ss.schools.search(q="Santa Monica", level="elementary") # Nearby nearby = ss.schools.nearby(lat=34.05, lng=-118.24, radius=3)

curl -H "Authorization: Bearer sk_live_..." \ "https://api.schoolscope.co/v1/schools/la-canada-elementary-4633"

Raw HTTP works too — but the typed clients give you autocomplete, validation, and zero boilerplate.

Bulk data downloads

Enterprise tier includes quarterly bulk exports — every school, every score, downloadable as CSV or JSON.

What’s included

State-by-state data packages, updated quarterly after CDE releases.

All schools with Scope Scores

Archetype classifications

6-factor score breakdowns

Per-pupil spending + breakdown

Demographics + enrollment

Feeder pattern relationships

Growth trajectories

Chronic absenteeism + suspension

Formats: CSV + JSON. Available per-state. Enterprise tier ($499/mo) required.

Why SchoolScope

🎯

6-dimension scoring

Scope Score + exceeded/met split + growth + absenteeism + suspension + spending efficiency. Not a single number.

🤖

AI-native

OpenAPI spec, tool-calling schemas for GPT/Claude/Gemini, structured responses. Built for the agent era.

🛡️

No conflicts of interest

We don’t sell to schools. Rankings can’t be bought. Your users can trust the data.

📦

Context Packs

Pre-assembled, renderable data for any location. One call returns a complete neighborhood picture for property listings.

How we compare

	SchoolScope	GreatSchools	SchoolDigger	Niche
Entry price	Free (1K calls/day)	$52.50/mo	$19.90/mo	Sales only
Score depth	Score + 7 factors + archetype	3 rating bands*	Rank + percentile	A–F letter grades
AI / agent support	MCP + tool schemas	—	llms.txt	—
Spending data	Per-pupil + breakdown	Enterprise license	$189/mo tier	Unknown
Feeder patterns	K→12 trajectory	—	—	—
Growth trajectory	G3→G5 change	—	—	—
Typed SDK clients	TS + Python	—	—	—
Bulk exports	CSV + JSON quarterly	Enterprise license	$34.5K/yr (AWS)	Sales only
Coverage	California (national soon)	Nationwide	Nationwide	Nationwide

*GreatSchools API returns rating bands (below avg / avg / above avg). Actual 1–10 ratings require an enterprise data license.