REST API

Integrate narratiQ into your publishing system

Manuscript content intelligence via API call. Send a PDF and use structured analysis components for assessment, market fit and downstream publishing workflows – directly in your system.

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Publishing system

PONDUS, knk, ...

POST /api/v2/analyze

narratiQ API

Analysis running...

JSON Response

Editor dashboard

Display results

Why API?

Content intelligence without a system change

Add complete manuscript analysis to your existing intake and decision workflow – without introducing another interface for your team.

Results where you work

The analysis appears directly in PONDUS, knkVerlag, or your internal system. No switching between tools.

Your rules, your data

API keys with individual limits. Usage logging for cost control. GDPR-compliant with a DPA – no training on customer data.

Integration in three steps

Request API key

Send manuscript

POST /api/v2/analyze with PDF upload. Response in 5-15 minutes, depending on manuscript length.

Receive analysis

Structured JSON with genre, style, structure, character analysis, market potential, and executive summary.

Two lines of code are enough

curl -X POST "https://api.narratiq.tech/api/v2/analyze" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "book_id": "abc-123",
    "language": "de"
  }'

What the API delivers

Genre classification (main and subgenres)
Style analysis (narrative voice, language register, dialogue quality)
Structure assessment (tension arc, plot points, pacing)
Character analysis (depth, development, relationships)
Executive summary (one page, all insights)
Market potential and comparable titles

{
  "genre": {
    "primary": "Dark Romance",
    "confidence": 94,
    "subgenres": [
      "Contemporary",
      "New Adult"
    ]
  },
  "style": {
    "narrative_voice": "First-person narrator",
    "language_register": "Conversational and poetic",
    "readability_score": 78
  },
  "structure": {
    "pacing": "Fast and well paced",
    "plot_strength": 85,
    "tension_arc": "Classic three-act structure"
  },
  "executive_summary": "A confidently written dark-romance novel ...",
  "market_fit": {
    "comp_titles": [
      "Twisted Love",
      "Haunting Adeline"
    ],
    "potential": "High"
  }
}

Shortened example. The full response includes 15+ analysis dimensions and forms the basis for further workflow outputs.

All analysis content in detail -- from summary to character analysis to genre assessment -- can be found on our features page.

View features

Ready for integration?

We set up your API access and support the integration.

Request API access Questions? Write to us