You can access the Decision Framer — Criteria, Ranking & Recommendation programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "items": [{
9            "decision": "Should our SaaS company build or buy customer support automation?",
10            "context": "12-person company; $20k budget; launch in 8 weeks; two engineers; EU customers.",
11            "candidates": [
12                "Build in-house",
13                "Buy a managed platform",
14            ],
15            "priorities": [
16                "Launch speed",
17                "Total cost",
18                "EU data handling",
19                "Maintenance burden",
20            ],
21        }] }
22
23# Run the Actor and wait for it to finish
24run = client.actor("physealabs/decision-framer").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
28for item in client.dataset(run.default_dataset_id).iterate_items():
29    print(item)
30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Decision Framer — Criteria, Ranking & Recommendation API in Python

The Apify API client for Python is the official library that allows you to use Decision Framer — Criteria, Ranking & Recommendation API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Decision Framer — Criteria, Ranking & Recommendation API in JavaScript

Decision Framer — Criteria, Ranking & Recommendation API through CLI

Decision Framer — Criteria, Ranking & Recommendation OpenAPI definition

Decision Framer — Criteria, Ranking & Recommendation API

Product Recommendation API

vivid_astronaut/product-recommendation

BRAINIALL Team

Size Recommendation API

vivid_astronaut/size-recommendation

BRAINIALL Team

AI Product Recommendation Agent

matymar/ai-product-recommendation-agent

The AI Product Recommendation Agent helps users find the best products based on their needs using a simple query. It analyzes product listings, reviews, and ratings to provide well-informed recommendations.

Matouš Mařík

103

1.7

Decision-Maker Public Email Finder

fetch_cat/decision-maker-email-finder

Find publicly posted decision-maker email addresses on company websites with source-page evidence.

Hanna Nosova

Framer Vectors Scraper

53prod/Framer-Vectors-Scraper

Extract vector data from Framer Marketplace. Use the form to scrape URLs, names, pricing, and product-related data.

53 prod

Common Criteria Certified Products Portal Actor

tehsnarf/common-criteria-certified-products

Downloads and normalizes the official Common Criteria certified IT products registry into structured JSON, with a derived current/archived status field, for security procurement, GRC, and vendor-risk monitoring.

Chris Hoover

AI Decision State & Evidence Monitor

suezcanal.xyz/decision-monitor

Monitor whether a previously justified structured decision still holds after evidence, assumptions or blockers change. Returns deterministic deltas and replay-safe checkpoints.