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DecisionNode

DecisionNode is a decision engine: send it text, JSON or images with a question, and it answers with calibrated probabilities, in milliseconds, through one API.

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For agents: DecisionNode: decision engine API returning calibrated probabilities for text, JSON or image questions in milliseconds; includes quickstart docs and a CLI.

decision enginecalibrated probabilitiesapityped answerscommand line

Authority
45 reach 0 · trust 5 · quality 25 · freshness 15
Tier
listed
llms.txt
https://decisionnode.com/llms.txt
llms-full.txt
https://decisionnode.com/llms-full.txt
Sections
5
Links
109
Size
64989 bytes
Categories
AI and machine learning · APIs and SDKs
For agents
Interface: a documented API or declared MCP endpoint an agent can call
Audience
developers · agents can: read docs, call api · en
First seen
2026-10-21T11:11:37.787Z
Last checked
2026-10-21T11:12:08.504Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T11:12:04.874Z. Cached copy · Source on decisionnode.com

# DecisionNode

> DecisionNode is a decision engine: send it text, JSON or images with a question, and it answers with calibrated probabilities, in milliseconds, through one API.

A System One model is a class of AI model that returns typed, probabilistic decisions from a fixed answer space instead of generating text. Given a piece of state and a set of questions defined in code, it answers each one with a schema-valid value such as a chosen option, a score, or a probability, and then stops. DecisionNode is a System One decision model behind one HTTPS endpoint, `POST https://api.decisionnode.com/v1/decide`: it reads a state (text, JSON or images) and answers typed questions in one pass, with no deliberation: a choice among options, a score on a scale, the probability that a statement is true, or a number. Every answer carries calibrated probabilities. It never generates text, which makes it the right tool for routing, triage, moderation, scoring and gating and the wrong one for writing. Made by Bynn Intelligence, Inc.

## For coding agents: the integration contract

To set up DecisionNode in a project, fetch and follow the setup guide: https://decisionnode.com/agent-setup.md (the key, the docs MCP server, the call, the rules and a check). The block below is the contract it carries; follow it as written.

Endpoint: POST https://api.decisionnode.com/v1/decide
Auth: header "Authorization: Bearer <key>", key read from the DECISIONNODE_API_KEY environment variable on the server. Never ship that key to a browser, an app or a device, and never log it. The API refuses browser (cross-origin) calls except with a publishable key, so frontend code calls this app's own backend, which calls DecisionNode; a device gets a Decisions-only key of its own from the app's server.

Request body (questions required; model, state, images and boosters optional; model defaults to "decisionnode-1.0"; a field sent as null equals one left out):
{
  "model": "decisionnode-1.0",  // or "decisionnode-1.0-flash", or the workspace's fine-tuned model "decisionnode-1.0@acme/fraud"
  "fallback": true,  // default; when DecisionNode MoE has no ready capacity, DecisionNode Flash answers (body "model" and header x-decisionnode-fallback say so, billed at DecisionNode Flash's price); false = a 529 to retry instead
  "state": "<text>" | { ...json },
  "images": [{ "id": "photo", "media_type": "image/jpeg", "data": "<base64>" }],  // up to 16; or { "id": "photo", "url": "https://..." }
  "boosters": ["age", "ai_generated"],  // optional, up to 4, each once; specialist readings of every image, priced per picture read (`age` (Human Age) $0.024, `ai_generated` (AI-generated) $0.006, `face_detection` (Face detection) $0.001, `face_recognition` (Face recognition) $0.001 on your own collection and $0.001 on `celebrities`, `ocr` (OCR) $0.0015, `bynn_depth` (Depth Vision) free, `bynn_segment` (Segment Vision) $0.001 and `knowledge` (Knowledge) $0.001 a request). An entry may instead be { "name": "a
…

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