Quantabble — AP Science Misconception Diagnostics
Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.
| Endpoint | https://quantabble-api.chemandphysicsmastery.workers.dev (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 2 tools · grade C (65) · pin ts_62ae64b8f933b3181d901e3fb9c09dce · protocol 2024-11-05 |
| First / last listed | 2026-11-04 03:27 UTC / 2026-11-04 03:27 UTC |
| Grade over time | 2026-11-04: C (65), 2 tools |
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Tools: diagnose_response get_coverage
diagnose_response | Diagnose a student's written explanation in AP Chemistry or AP Physics 1 (or the same topics in introductory chemistry or algebra-based physics). Returns structured diagnostic data for your own tutoring: the verdict; the student's specific misconception in plain words, with error_source telling you whether it comes from our curated misconception library or was identified by the engine; where the t params: student_response*, schema_id |
get_coverage | Returns Quantabble's coverage and full topic catalog: every schema_id with its course, unit, topic number and title. Use it to check a topic is in scope and to look up the schema_id to pass to diagnose_response when you already know what the student is working on. Free; no model call. params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.