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For Developers

Add Adaptive Testing to Any Application

Production-grade IRT/CAT engine, AI question generation, and personalized learning recommendations. One API key, six capabilities.

Access is opened by hand while self-serve checkout is being finished.

Capabilities

What You Can Build

Six production-ready capabilities through a single API.

Adaptive Testing

IRT 2PL engine with CAT item selection. The biggest savings in questions come for students far above or below average.

AI Question Generation

Generate assessment items by topic, difficulty, and academic standard. Claude-powered with QTI 3.0 export.

Learning Recommendations

Personalized learning plans based on student ability profiles. AI-generated with actionable next steps.

Item Calibration

Estimate IRT parameters from response data. Classical Test Theory pre-screening, DIF analysis, model fit statistics.

Student & Class Management

CRUD for students, classes, and enrollments. OneRoster 1.2 compatible for SIS integration.

Results & Analytics

Real-time ability estimates, mastery tracking, item-level analytics, and assessment history.

Simple to Integrate

Create a test, start an adaptive session and submit answers over plain HTTP.

  • One REST call per step: test, session, answer
  • JSON responses with real-time ability estimates
  • AI question generation in a single POST
  • Works with any HTTP client or language
Python
import httpx

api = httpx.Client(
    base_url="https://adaptivetest-platform-production.up.railway.app/api",
    headers={"X-API-Key": "at_live_your_key_here"},
)

# 1. Create a teacher and a student
teacher = api.post("/users", json={
    "email": "teacher@example.com", "name": "Ms. Rivera", "role": "teacher",
}).json()
student = api.post("/users", json={
    "email": "student@example.com", "name": "Sam", "role": "student",
}).json()

# 2. Create an adaptive test with IRT item parameters, then activate it
test = api.post("/tests", params={"teacher_id": teacher["id"]}, json={
    "name": "Algebra Readiness",
    "is_adaptive": True,
    "max_questions": 20,
    "questions": [
        {"content": "2x + 3 = 11. What is x?", "correct_answer": "4",
         "options": ["3", "4", "5", "7"],
         "difficulty": -0.5, "discrimination": 1.2},
        # ... more items
    ],
}).json()
api.post(f"/tests/{test['id']}/activate")

# 3. Start a session; the CAT engine picks the first item
session = api.post("/sessions", json={
    "test_id": test["id"], "student_id": student["id"],
}).json()
item = session["current_question"]

# 4. Submit an answer; get the new ability estimate and the next item
result = api.post(f"/sessions/{session['session_id']}/answer", json={
    "question_id": item["id"], "answer": "4",
}).json()
print(result["theta"], result.get("next_question"))

Getting Started

From ClawHub to Production in Minutes

1

Request Access

Email us and we issue your API key by hand while self-serve checkout is being finished. Trial keys include 100 API calls over 7 days.

2

Install the Skill

Add the AdaptiveTest skill to your OpenClaw workspace. Your agent learns the full API.

3

Configure

Set your ADAPTIVETEST_API_KEY environment variable. The skill handles auth automatically.

4

Build

Your agent can now create tests, generate questions, run adaptive sessions, and analyze results.

Pricing

Simple, Predictable Pricing

Start free. Scale when you're ready.

Access is opened by hand while self-serve checkout is being finished.

Free Trial

$07 days
  • 100 API calls
  • 10 AI calls
  • 1 API key
  • 10 req/min
  • Docs only support
Request access
Most Popular

Pro

$49/mo
  • 10,000 API calls/mo
  • 1,000 AI calls/mo
  • 5 API keys
  • 60 req/min
  • Email support
  • $490/yr (2 months free)
Request access

Enterprise

Custom
  • Unlimited API calls
  • Unlimited AI calls
  • Unlimited API keys
  • Custom rate limit
  • Dedicated support
Contact Us

Frequently Asked Questions

Adaptive testing uses Item Response Theory (IRT) to select questions based on a student's estimated ability. Each question is chosen to maximize information. For students near the middle of the ability range, a well-targeted fixed-form test does about as well; for students far above or below it, an adaptive test reaches the same precision in far fewer questions.

Ready to Build?

Request a key and start building adaptive assessments.

Access is opened by hand while self-serve checkout is being finished.