Batchrouter
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Workflow · data-labeling

Data Labeling

Classify tickets, content, and events into queues or policy labels at batch scale.

BatchRouter packages high-volume labeling into a cost-aware workflow with structured outputs, managed retries, and one artifact that can flow directly into queues or analytics.

active
responses
standard SLA
Webhook delivery
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Customer outcome

A labeled dataset with primary class, secondary tags, urgency, and escalation cues.

For: Support ops, trust and safety, analytics, and QA teams

Inputs data-labeling Outputs
SLA-backed delivery

What this workflow does

  • Label support conversations, moderation queues, survey text, or incident notes without building a custom classification pipeline first.
  • Use a low-touch route posture for large labeling runs while still getting quoting, retries, artifacts, and delivery in one place.
  • Return one clean labeling artifact that downstream systems can use for routing, dashboards, model training, or QA review.

Success SLA
standard

24-hour batch deadline for high-volume labeling and triage work.

Defined as: The batch reaches completed before the configured 24-hour SLA and publishes a result artifact with structured labels plus an exception file for any rows that need replay.

Default routing policy
Lowest cost under SLA

Push toward the cheapest eligible provider while still respecting the 24-hour MVP SLA.

Ship Data Labeling in production

One POST, one webhook. Outcome-priced, with no token math or DAG setup.

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