AmygdalavsPerplexity Sonar

Structured expert data
vs AI-generated answers

Which belongs in your AI stack?

Perplexity Sonar synthesises an LLM answer with citations. Amygdala returns structured, verified expert profiles ranked by real authority signals: deterministic, zero hallucination risk, LLM-ready JSON. Here's how they differ.

FeatureAmygdalaPerplexity Sonar
What it returnsAuthority-ranked expert profiles (JSON)AI-generated prose answers with citations
Output formatStructured JSON, deterministicGenerated text, non-deterministic
Search typeSemantic expert and authority searchLLM-powered answer synthesis
Authority scoring✓ Built-in authority ranking✗ No expert ranking or verification
Infrastructure100% EU (Hetzner, Mistral, Weaviate)US-based (San Francisco)
GDPR compliance✓ Full, no US data transfers✗ US-based, requires SCCs for EU use
MCP support✓ 4 native tools⚠ Limited MCP availability
Hallucination riskNone: returns verified indexed dataPresent: LLM can fabricate citations
Free tier$50 starter creditsNo free tier on Sonar API
Pricing$25/1K searches$5/1K (basic), $18/1K (Pro Search)

Why developers choose Amygdala over Perplexity Sonar

Structured data beats generated prose.

Deterministic, not generative

Sonar generates prose: the output changes on every call and can hallucinate citations. Amygdala returns structured JSON from a verified index. The same query always returns the same ranked experts.

Experts, not excerpts

Sonar tells you what people wrote about AI safety. Amygdala tells you who the verified authorities on AI safety are, with authority ranks, verified social profiles, and peer networks you can actually use.

EU-compliant infrastructure

Perplexity is US-based. Sending data through their API means US data transfers for EU users. Amygdala runs on 100% European infrastructure: Hetzner (Finland/Germany), Mistral AI (Paris), Weaviate (Amsterdam).

API comparison

Ask the same question. Get very different things back.

Both respond to "who are the top AI safety experts?" The output shape is fundamentally different.

Perplexity Sonar: LLM answer API
Request
curl "https://api.perplexity.ai/chat/completions" \
  -H "Authorization: Bearer pplx-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar",
    "messages": [{
      "role": "user",
      "content": "Who are the top experts on AI safety?"
    }]
  }'
Response
{
  "choices": [{
    "message": {
      "role": "assistant",
      "content": "The field of AI safety has several prominent researchers
including Stuart Russell, Paul Christiano, and Yoshua Bengio.
Stuart Russell is known for his work on value alignment and
co-authored the influential textbook 'Artificial Intelligence:
A Modern Approach'. Paul Christiano...",
      "citations": [
        "https://en.wikipedia.org/wiki/AI_safety",
        "https://80000hours.org/problem-profiles/artificial-intelligence/"
      ]
    }
  }]
}
Result: A prose paragraph you'd need to parse with another LLM call. Two generic citation URLs. No structured expert data, no authority ranks, no social profiles. And the names could be hallucinated.
Amygdala: authority index API
Request
curl "https://api.amygdala.eu/api/v1/index/?query=AI+safety&limit=5" \
  -H "Authorization: Bearer amyg_..."
Response: ranked experts
{
  "duration": 0.084,
  "results": [
    {
      "sdu": "2941...207",
      "name": "Stuart Russell",
      "rank": 1,
      "country_name": "United States",
      "topic": "AI Safety"
    },
    {
      "sdu": "1839...561",
      "name": "Paul Christiano",
      "rank": 2,
      "country_name": "United States",
      "topic": "AI Safety"
    }
  ]
}
Enrich with /detail/
{
  "results": [{
    "name": "Stuart Russell",
    "bio": "Professor at UC Berkeley. Pioneer of AI safety research.",
    "country": "United States",
    "topics": ["AI Safety", "Machine Learning"],
    "socials": {
      "twitter":  { "handle": "@stuartjrussell", "followers": 52400 },
      "linkedin": { "handle": "stuart-russell-ai",  "followers": 18200 }
    }
  }]
}
Result: Structured JSON. Stuart Russell at rank 1, verified, with his Twitter and LinkedIn handles and follower counts. Deterministic, zero hallucination, ready to use.

Pricing comparison

What you pay for.

Perplexity Sonar
$5–18/1K requests

Sonar basic: $5/1K. Sonar Pro Search: $18/1K. No free tier on the API.

Returns LLM-generated prose. Non-deterministic output. Hallucination risk. US infrastructure only.

Amygdala
$25/1K searches

$50 in free credits on signup. No credit card required.

Returns structured, deterministic expert profiles. Verified data, no hallucination risk, EU-hosted, GDPR-compliant.

Start free

When to use which

Different tools for different jobs.

Use Perplexity Sonar when you need:
  • Quick AI-synthesised answers to questions
  • Consumer-facing conversational search
  • Prose summaries with inline citations
  • Rapid prototyping of answer-based features
Use Amygdala when you need:
  • Deterministic, structured expert data
  • Zero hallucination risk in your pipeline
  • Verified expert identities ranked by authority
  • Social handle enrichment and peer mapping
  • GDPR-compliant expert data for EU products
  • MCP tools for Claude, Cursor, and AI agents
  • Expert attribution for AI-generated content

Tip: Use Sonar to generate a draft answer, Amygdala to ground it in verified expert identities before showing it to users. Learn how authority-ranked data reduces LLM hallucinations →

Start with $50 in free credits

No credit card required. Full API access from day one.