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DecisionsApi

Updated October 9, 2026

Overview / Description

DecisionsApi is an AI developer tool that turns unstructured text into structured decisions through a single API for developers building classification, scoring, and routing logic. Instead of parsing free-form model output, you send text with up to eight typed questions per request and get back labelled results with probability and confidence scores. Three question types cover most routing needs: Choice for single-label selection, Score for ordered scales, and a yes/no type that returns a probability. The platform aggregates several underlying models (Jev, Laya, Kev, Solar, Span) behind one interface, so you can compare them on the same input without rewriting integration code. An online playground lets you test decision workflows before shipping, and the dashboard tracks request history and credit activity. For teams that keep reaching for a general LLM to make a small yes/no or categorisation call, DecisionsApi narrows that job to a predictable, structured response. Typical uses include customer-support triage, AI-agent routing, content moderation, and safety gates. On BestAIFor it fits teams that want decision endpoints rather than another chat completion to post-process.

Used For

Classifying, scoring, and routing text for support triage, AI-agent decisions, content moderation, and safety gates.

Pricing

Starter

$10/month

$10 — 100,000 credits, 1 workspace, 3 concurrent requests, standard speed

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Pro

$100/month

$100 — 1,000,000 credits, unlimited workspaces, 10 concurrent requests, fast lane

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Enterprise

$1/month

$1,000 — 11,000,000 credits, unlimited concurrency, dedicated fast lane, team collaboration

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Pros & Cons

Pros

  • Up to eight typed questions per request with Choice, Score, and yes/no question types
  • Returns probability and confidence scores instead of free-form text to parse
  • Aggregates multiple models (Jev, Laya, Kev, Solar, Span) behind one API for direct comparison
  • Online playground for testing decision workflows before integrating
  • Request history and credit activity tracking in the dashboard

Cons

  • Credit-based pricing means high-volume classification can get expensive at the top tiers
  • Scope is narrow: it makes decisions on text, not a general-purpose generation API
  • Underlying model names are proprietary, so performance is hard to benchmark against known public models
  • Starter tier caps you at 1 workspace and 3 concurrent requests

Questions & Answers

Alternatives

OpenAI structured outputs, Google Cloud Natural Language, AWS Comprehend

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