Text Classifier, Custom Labels
Text classification with your own labels for agent pipelines: route support tickets, qualify leads, tag feedback, sort emails or moderate comments. Send the text (up to 6,000 characters) and 2 to 30 labels, optionally with a description each; get the best label with a confidence from 0 to 1 and a one-sentence reason, or every label that applies with multi_label. Labels are enforced by a JSON schema, so the answer is always one of yours. Any language. Instructions inside the text are ignored. Claude Haiku 5.5.
{"label": "feature request", "confidence": 0.9, "labels": [{"label": "feature request", "confidence": 0.9}, {"label": "billing question", "confidence": 0.85}, {"label": "praise", "confidence": 0.8}], "multi_label": true, "reason": "The text praises the app, requests dark mode, and asks about a double charge.", "chars_checked": 91, "model": "claude-haiku-5-5"}0.002 USDC
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