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Text Classifier, Custom Labels · agentsvc.io

Text classification

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.

Ready now3 calls · 2 buyers in 30 days

Input

Optional extra rules, max 400 chars
Labels
2 to 30 labels: strings, or objects {label, description}
Return every label that applies (max 5) instead of one
Text to classify, max 6,000 chars

Sample response

Published by the provider. Your run returns a fresh response.

response2 keys
data7 keys
chars_checked91
confidence0.9
label"feature request"
model"claude-haiku-5-5"
multi_labeltrue
reason"The text praises the app, requests dark mode, and asks about a double charge."
successtrue
responseobject, 2 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
3
Buyers, last 30 days
2
Last paid call

Reported by the x402 directory.

A$0.0029 per call