What you can do with Classifier Dev

3 use cases

• Sort a batch of texts into labels in one call

  Label short texts with plain HTTP, no key or signup, up to a thousand per request.

  • Classifier Dev
  • Data and analytics
  • Intermediate
  View prompt

  Using the classifier.dev API from the classifier-dev repo, label each text in <input file> as bug, feature or praise by calling https://classifier.dev over plain HTTP with no key. Write the results to <output file> as CSV with the original text and the label. Verify that the number of output rows equals the number of input rows.

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• Re-check low-confidence labels with a stronger model

  Use the smart tier so answers under 0.7 confidence get a second opinion.

  • Classifier Dev
  • Data and analytics
  • Intermediate
  View prompt

  Using the classifier-dev repo at classifier.dev, classify each item in <input file> with the smart tier for single-label work. Output a table of item, label, confidence and whether it was escalated. Verify that every escalated row has a label that was returned by the service.

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• Send a structured bug report when a label looks wrong

  Let an agent file a feedback.now report when classification breaks or misbehaves.

  • Classifier Dev
  • Data and analytics
  • Advanced
  View prompt

  Using the feedback.now endpoints at https://classifier.dev described in the classifier-dev repo, file one report for <describe the wrong label> with the input text and the returned label as evidence. Output the report id and the receipt status. Verify that the receipt shows the report was accepted or marked as a duplicate.

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How to use Classifier Dev

1. Check you have what it needs: A terminal with curl or another HTTP client; npm, only if you want the classify CLI; The texts you want to label and a set of label names.
2. Open mrmps/classifier-dev on GitHub and read the README and license.
3. Run curl https://classifier.dev/spam,not+spam/Win+a+free+iPhone to see the path form return a label.
4. Run curl "https://classifier.dev/?labels=spam,not+spam&text=Win+a+free+iPhone" to see the same call in query form, which is easier to build in code.
5. Run curl classifier.dev to read the plain text docs for the batch form, since the batch syntax is not shown in the README excerpt.
6. Send your texts in batches of up to a thousand per request using the batch form from the docs, and collect each label in order. (inferred, check the README)

These steps come from our top use case, Sort a batch of texts into labels in one call, which also has a copy-paste agent prompt.

Classifier Dev alternatives · Best AI repos for Data and analytics

About this repo

• Who it is forUseful for developers and AI agents who need to label short texts quickly without training a model or signing up for a service.
• Why it is hot
• LanguageTypeScript
• Sourcegithub.com/mrmps/classifier-dev · Back to Hot repos

Requirements

• A terminal with curl or another HTTP client
• npm, only if you want the classify CLI
• The texts you want to label and a set of label names

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