{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_opexams","slug":"opexams","name":"OpExams","type":"product","url":"https://opexams.com","page_url":"https://unfragile.ai/opexams","categories":["research-search"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_opexams__cap_0","uri":"capability://text.generation.language.context.aware.question.generation.from.documents","name":"context-aware question generation from documents","description":"Accepts uploaded documents (PDFs, text files, Word docs) and uses prompt-based LLM generation to synthesize exam questions that directly reference and test comprehension of the source material. The system likely parses document content, chunks it into semantic segments, and feeds those segments to a generative model with a question-generation prompt template that specifies format, difficulty, and question type constraints.","intents":["I want to upload a textbook chapter and automatically generate 20 multiple-choice questions that test the key concepts","I need to create a quiz from lecture notes without manually writing each question","I want to generate practice questions that directly reference specific passages from my course materials"],"best_for":["educators with large volumes of course content who need rapid assessment generation","instructors creating formative quizzes and practice materials for self-paced learning","training program managers building internal knowledge assessments from documentation"],"limitations":["Question quality depends entirely on source document clarity and structure — poorly written or ambiguous source material produces weak questions","No built-in validation that generated questions actually test the intended learning objectives","Likely limited to common document formats (PDF, DOCX, TXT); binary formats or scanned images may not be supported","Freemium tier probably restricts document size and number of questions per generation cycle"],"requires":["Document in supported format (PDF, DOCX, TXT, or similar)","Active internet connection for cloud-based LLM inference","Freemium account or paid subscription depending on usage volume"],"input_types":["text documents (PDF, DOCX, TXT)","structured text content"],"output_types":["structured question objects with question text, answer options, correct answer","formatted quiz documents (likely PDF or DOCX export)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_1","uri":"capability://text.generation.language.topic.based.question.generation.without.source.material","name":"topic-based question generation without source material","description":"Accepts a topic name or brief description and generates exam questions using the LLM's parametric knowledge without requiring uploaded documents. The system constructs a prompt that specifies the topic, desired question count, format, and difficulty level, then calls a generative model to produce questions. This approach relies on the model's training data rather than user-provided context.","intents":["I want to generate practice questions about 'photosynthesis' without uploading any documents","I need quick quiz questions on a topic to test student knowledge of general concepts","I want to create supplementary practice materials for a standard curriculum topic"],"best_for":["educators teaching standard curriculum topics where generic knowledge is sufficient","instructors needing rapid prototype quizzes before refining with custom content","learners creating self-study materials on well-established subjects"],"limitations":["Questions are not grounded in specific course materials or learning objectives — may not align with what was actually taught","Quality and accuracy depend on LLM training data; outdated or niche topics may produce weak or inaccurate questions","No mechanism to ensure questions match the depth or scope of the actual curriculum","Risk of hallucinated or incorrect factual content without source material to validate against"],"requires":["Topic name or brief description (text input)","Active internet connection for LLM inference","Freemium account or paid subscription"],"input_types":["text (topic name or description)"],"output_types":["structured question objects with question text, answer options, correct answer","formatted quiz documents"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_2","uri":"capability://text.generation.language.multiple.choice.question.generation.with.configurable.options","name":"multiple-choice question generation with configurable options","description":"Generates multiple-choice questions with configurable parameters: number of answer options (typically 3-5), difficulty level, and answer distribution. The system likely uses prompt templates that specify the desired format and constraints, then post-processes LLM output to ensure correct option count and valid answer key generation. May include logic to avoid obvious patterns (e.g., 'C' as correct answer for every question).","intents":["I want to generate multiple-choice questions with 4 options each for a standardized test format","I need to create questions with varying difficulty levels (easy, medium, hard) for differentiated assessment","I want to ensure the correct answer is randomly distributed across options to avoid test-taking patterns"],"best_for":["educators creating standardized assessments with consistent format requirements","instructors designing adaptive quizzes with difficulty-based branching","assessment designers needing bulk generation of multiple-choice items"],"limitations":["Distractor quality (plausibility of wrong answers) depends on LLM capability — weak distractors make questions too easy","No built-in validation that distractors are actually plausible or test common misconceptions","Configurable parameters may be limited to basic options (count, difficulty) without fine-grained control over distractor types","Freemium tier likely restricts the number of questions generated per session"],"requires":["Topic or source document (depending on generation mode)","Configuration parameters (number of options, difficulty level)","Active internet connection"],"input_types":["text (topic or document content)","configuration parameters (integer for option count, enum for difficulty)"],"output_types":["structured question objects with question text, answer options array, correct answer index","formatted quiz documents with answer keys"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_3","uri":"capability://text.generation.language.short.answer.question.generation","name":"short-answer question generation","description":"Generates open-ended short-answer questions (as opposed to multiple-choice) that require students to provide brief written responses. The system uses prompt templates that specify answer length constraints and expected response format, then generates questions with model-provided answer keys or rubrics. May include logic to generate acceptable answer variations to support flexible grading.","intents":["I want to create short-answer questions that test deeper understanding beyond multiple-choice","I need to generate questions where students must explain concepts in their own words","I want to create assessment items that are harder to game through guessing"],"best_for":["educators assessing higher-order thinking skills (analysis, synthesis, evaluation)","instructors creating formative assessments that require written explanation","assessment designers mixing question types for comprehensive evaluation"],"limitations":["Answer key generation is inherently ambiguous — LLM-generated answer keys may not capture all valid student responses","No built-in grading automation; educators must manually evaluate student responses against generated answer keys","Rubric generation (if provided) may lack pedagogical specificity and nuance","Freemium tier likely restricts short-answer question generation more severely than multiple-choice"],"requires":["Topic or source document","Active internet connection","Manual review and validation of generated answer keys before classroom use"],"input_types":["text (topic or document content)","optional configuration (answer length constraints)"],"output_types":["structured question objects with question text and model-generated answer key","optional rubric or grading guidance","formatted quiz documents"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_4","uri":"capability://automation.workflow.question.export.and.formatting","name":"question export and formatting","description":"Exports generated questions in multiple formats (PDF, DOCX, potentially others) suitable for printing or learning management system (LMS) import. The system likely uses templating engines (e.g., Jinja2, Handlebars) to format questions into document structures, then leverages libraries like python-docx or similar to generate output files. May support customization of document layout, branding, and metadata.","intents":["I want to export my generated questions as a PDF to print for a paper-based exam","I need to export questions in a format compatible with my school's LMS (Canvas, Blackboard, etc.)","I want to create a formatted quiz document with my school's branding and header"],"best_for":["educators needing to integrate generated questions into existing workflows (printing, LMS)","instructors wanting to customize document appearance and metadata","assessment administrators managing bulk export of questions across multiple courses"],"limitations":["Freemium tier likely restricts export formats or file size limits","LMS compatibility depends on whether the system supports standard import formats (QTI, GIFT, etc.) — proprietary LMS formats may not be supported","Customization options (branding, layout) may be limited or unavailable in freemium tier","No built-in support for advanced document features (conditional formatting, dynamic fields)"],"requires":["Generated questions in the system","Freemium account or paid subscription (export likely restricted on free tier)","Compatible document reader (PDF viewer, Word processor)"],"input_types":["structured question objects (from generation pipeline)"],"output_types":["PDF documents","DOCX documents","potentially CSV or other structured formats for LMS import"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_5","uri":"capability://text.generation.language.question.difficulty.level.specification.and.generation","name":"question difficulty level specification and generation","description":"Allows users to specify desired difficulty levels (e.g., easy, medium, hard, or numeric scale) for generated questions, and the system adjusts question complexity, vocabulary, and cognitive demand accordingly. Implementation likely uses prompt engineering with difficulty descriptors and examples, potentially with post-hoc validation to ensure generated questions match the specified difficulty. May track difficulty metadata in question objects.","intents":["I want to generate a mix of easy, medium, and hard questions for a differentiated assessment","I need to create a diagnostic quiz with easy questions to build confidence before harder items","I want to ensure my assessment has appropriate cognitive demand for my grade level"],"best_for":["educators designing adaptive or differentiated assessments","instructors creating diagnostic quizzes with graduated difficulty","assessment designers managing cognitive load across question sets"],"limitations":["Difficulty specification is subjective and context-dependent — 'hard' for one audience may be 'easy' for another","No built-in validation that generated questions actually match the specified difficulty level","Difficulty metadata is not standardized (e.g., Bloom's taxonomy levels) — may be arbitrary labels","LLM-based difficulty adjustment may be inconsistent across question types or topics"],"requires":["Topic or source document","Difficulty level specification (enum or numeric scale)","Active internet connection"],"input_types":["text (topic or document content)","difficulty level parameter (enum: easy/medium/hard, or numeric scale)"],"output_types":["structured question objects with difficulty metadata","formatted quiz documents with difficulty indicators"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_6","uri":"capability://automation.workflow.batch.question.generation.and.bulk.operations","name":"batch question generation and bulk operations","description":"Supports generating large numbers of questions in a single operation, potentially with progress tracking and asynchronous processing. The system likely queues generation requests, processes them in batches to optimize API calls to the underlying LLM, and provides status updates or completion notifications. May include rate-limiting and quota management for freemium tiers.","intents":["I want to generate 100 questions from a textbook chapter in one operation without clicking 'generate' repeatedly","I need to create question banks for multiple courses and want to batch-process them efficiently","I want to generate questions asynchronously so I can continue working while the system processes"],"best_for":["educators managing large course loads with many assessment needs","assessment administrators building question banks for institutional use","instructors creating supplementary materials for multiple sections or courses"],"limitations":["Freemium tier likely imposes strict limits on batch size (e.g., max 20-50 questions per batch)","Batch processing may introduce latency — questions may take minutes to generate depending on queue depth","No built-in deduplication or quality filtering across batches — may generate redundant or low-quality questions","Asynchronous processing requires polling or webhook support to track completion status"],"requires":["Topic or source document","Batch size specification (number of questions)","Active internet connection","Freemium account or paid subscription (batch limits vary by tier)"],"input_types":["text (topic or document content)","batch size parameter (integer)","optional configuration (difficulty, format, etc.)"],"output_types":["structured question objects (array)","batch status/progress indicators","formatted quiz documents"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_7","uri":"capability://text.generation.language.question.editing.and.refinement.interface","name":"question editing and refinement interface","description":"Provides a user interface for educators to manually edit, refine, or regenerate individual questions after initial generation. The system likely stores generated questions in an editable format, allows inline editing of question text and answer options, and may provide regeneration options to replace specific questions or options. May include version history or undo/redo functionality.","intents":["I want to fix a grammatical error in a generated question before using it in my quiz","I need to replace a weak distractor with a better wrong answer option","I want to regenerate just one question that doesn't fit my learning objectives"],"best_for":["educators who view AI-generated questions as starting points requiring human refinement","instructors with specific pedagogical requirements that AI generation doesn't fully capture","assessment designers iterating on question quality before deployment"],"limitations":["Editing interface may be basic (plain text fields) without rich formatting or advanced options","No built-in validation that edited questions maintain pedagogical quality or answer key accuracy","Regeneration of individual questions may not be available in freemium tier","No collaborative editing or version control for team-based assessment design"],"requires":["Generated questions in the system","Web browser with JavaScript support","Active internet connection (for regeneration features)"],"input_types":["structured question objects (from generation pipeline)","user-provided edits (text input)"],"output_types":["updated structured question objects","formatted quiz documents with edited questions"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opexams__cap_8","uri":"capability://data.processing.analysis.question.deduplication.and.similarity.detection","name":"question deduplication and similarity detection","description":"Detects and flags duplicate or highly similar questions within a generated set, potentially using semantic similarity metrics (e.g., cosine similarity of embeddings) or string-based matching. The system may automatically remove duplicates or present them to the user for manual review. Implementation likely uses embedding-based similarity or fuzzy string matching to identify near-duplicates that simple string comparison would miss.","intents":["I want to ensure my generated question set doesn't have redundant questions that test the same concept","I need to identify questions that are too similar and remove one before using the quiz","I want to maximize question diversity when generating large batches"],"best_for":["educators generating large question batches who want to ensure diversity","assessment designers building question banks with minimal redundancy","instructors concerned about question quality and avoiding repetitive assessment"],"limitations":["Similarity detection may be overly aggressive (flagging legitimately different questions) or too lenient (missing near-duplicates)","Semantic similarity metrics require embedding models, adding computational overhead and potential latency","No built-in understanding of pedagogical similarity — may flag questions that test different learning objectives but have similar wording","Deduplication may not be available in freemium tier"],"requires":["Generated question set (multiple questions)","Embedding model or similarity algorithm (likely cloud-based)","Active internet connection"],"input_types":["structured question objects (array)"],"output_types":["similarity scores or flags for duplicate/similar questions","deduplicated question set (if automatic removal enabled)","UI highlighting similar questions for manual review"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"low","permissions":["Document in supported format (PDF, DOCX, TXT, or similar)","Active internet connection for cloud-based LLM inference","Freemium account or paid subscription depending on usage volume","Topic name or brief description (text input)","Active internet connection for LLM inference","Freemium account or paid subscription","Topic or source document (depending on generation mode)","Configuration parameters (number of options, difficulty level)","Active internet connection","Topic or source document"],"failure_modes":["Question quality depends entirely on source document clarity and structure — poorly written or ambiguous source material produces weak questions","No built-in validation that generated questions actually test the intended learning objectives","Likely limited to common document formats (PDF, DOCX, TXT); binary formats or scanned images may not be supported","Freemium tier probably restricts document size and number of questions per generation cycle","Questions are not grounded in specific course materials or learning objectives — may not align with what was actually taught","Quality and accuracy depend on LLM training data; outdated or niche topics may produce weak or inaccurate questions","No mechanism to ensure questions match the depth or scope of the actual curriculum","Risk of hallucinated or incorrect factual content without source material to validate against","Distractor quality (plausibility of wrong answers) depends on LLM capability — weak distractors make questions too easy","No built-in validation that distractors are actually plausible or test common misconceptions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.859Z","last_scraped_at":"2026-04-05T13:23:42.560Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=opexams","compare_url":"https://unfragile.ai/compare?artifact=opexams"}},"signature":"56gHfPTK4naGJFGwRRJuGH755jgAm667r1BSclFX8bog/vOhMAaQ70MAfKrHWbUpcCy3bhmc5+PV+BmeOFr0Ag==","signedAt":"2026-06-21T15:06:20.095Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/opexams","artifact":"https://unfragile.ai/opexams","verify":"https://unfragile.ai/api/v1/verify?slug=opexams","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}