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DecisionsApi vs Needle 3

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

DecisionsApi compared with Needle 3
DetailDecisionsApi logo DecisionsApi Needle 3
What it doesText in. Decisions out. Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
StageMVP Startup
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Open source
PricingOne-time plans starting at $10 (100,000 credits), $100 (1,000,000 credits), and $1,000 (11,000,000 credits with 10% extra). Credits do not expire. Not given
Key features
  • Structured answers with probability signals
  • Online playground for testing models
  • Choice, score, and yes-no decision types
  • Multiple models available for comparison
  • API key management
  • Usage and request history tracking
  • Tool calling with function selection and argument filling
  • Structured extraction with guaranteed JSON parsing
  • Text embeddings for local semantic search and matching
  • Confidence scoring for routing and gating calls
  • Laddered subnetwork architecture from 2 to 20 layers
  • LoRA fine-tuning support for customization
  • 400-4k tokens per second inference speed on Raspberry Pi 5
  • Python package with pip install and Hugging Face distribution
What makes it different
  • Multiple decision models in one playground and API
  • Structured answers instead of generated text
  • Probability signals with confidence scores
  • Beats models 10x its size on mobile tool calling benchmarks
  • Matches models 2-3x larger on structured extraction tasks
  • Entire model in a single 8-29 MB binary for tiny devices
  • Simple Attention Network architecture uses 2x fewer MFLOPs than transformers
  • Fine-tuned subnetworks outperform larger models like DeepSeek V4 Flash
Community votes00
DR (Domain Rating by Ahrefs)51 +51 (up) since last check56 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)1539
Referring domains (Majestic)81592

5 details filled in for both companies.

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