VeritasGraph vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-26
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VeritasGraph or ScreenplayIQ: which should you choose?

DimensionVeritasGraphScreenplayIQ
Target AudienceEnterprise AI architects, researchers, government entitiesScreenwriters, producers, studio executives
Primary FunctionKnowledge graph & GraphRAG framework for auditable AI reasoningAI screenplay analysis with box office prediction
Key FeaturesMulti-hop reasoning, ontology-aware retrieval, verifiable attribution, RDF support, integrations with pgvector, Neo4j, FAISS, LangChain, LlamaIndexStructural feedback, beat sheets, pacing heatmap, genre classification, PitchTrailer integration, API access
DeploymentLocal or cloud deployment (open-source)Cloud-based (collaborative workspace)
Best ForGrounded, explainable LLM outputs in regulated environmentsData-driven script marketability feedback

ScreenplayIQ and VeritasGraph are too different to compete directly. ScreenplayIQ is a specialized tool for screenwriters analyzing feature film scripts with box office forecasting, while VeritasGraph is an open-source framework for enterprise GraphRAG applications. Choose ScreenplayIQ if you need narrative analysis and market predictions for movie scripts; choose VeritasGraph if you're building auditable, knowledge-grounded AI systems for regulated or sovereign environments.

VeritasGraph
VeritasGraph

Open-source GraphRAG that traces every LLM answer back to a node in an auditable knowledge graph.

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ScreenplayIQ
ScreenplayIQ

ScreenplayIQ turns your screenplay into AI script coverage — logline, synopsis, character arc charts and proofreading, priced per script.

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Pricing
Freemium
Paid
Plans
Open SourceFree
Enterprise EngagementCustom
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
12 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
Web
WebAPI
Categories
🗄️ Vector Databases & Retrieval📦 LLM App Frameworks & SDKs
📖 Fiction & Screenwriting
Features
Multi-hop reasoning over knowledge graphs for LLM queries
Verifiable source attribution tracing every answer to source material
Ontology-aware retrieval that keeps the graph in charge of context
Knowledge graph construction with nodes, edges and ontologies
Entity extraction from unstructured documents
RDF and linked-data support for semantic web formats
Retrieval across both structured data and unstructured text
Graph storage and traversal on Neo4j
Vector storage and search via pgvector
FAISS integration for vector search
LangChain pipeline compatibility
LlamaIndex pipeline compatibility
Model Context Protocol (MCP) server integration with auth and audit guardrails
Local, cloud or on-premise deployment
On-premise sovereign model serving with LLaMA, DeepSeek and Mistral via vLLM and Ollama
Logline generated from your full screenplay draft
Similar films and TV shows surfaced for market framing
Structured story points broken out of the script
Full synopsis produced without reading the whole draft
Character synopses across the full cast
Visual representations of each character
Character emotional journey charts tracking arcs across the script
Full assessment analysis of the draft
Theme breakdowns
Proofread report covering all issues
Inline highlights on every flagged issue
Recommended fix attached to each flagged issue
Custom analysis package built outside the presets
Pricing by page length, quoted separately for TV and features
Encrypted, siloed storage with WGA-compliant handling, never used to train LLM models
Integrations
Neo4j
pgvector
FAISS
Weaviate
LangChain
LlamaIndex
vLLM
Ollama

Who should pick VeritasGraph, and who should pick ScreenplayIQ?

  • Screenwriter seeking script marketability feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural analysis, beat sheets, and box office prediction tailored for feature film scripts, plus collaborative workspace for feedback.

  • Enterprise AI architect building a grounded RAG system
    Pick: VeritasGraph

    VeritasGraph offers multi-hop reasoning over knowledge graphs with verifiable attribution, integrating with pgvector, Neo4j, LangChain, and deployable on sovereign infrastructure.

  • Producer evaluating potential box office returns
    Pick: ScreenplayIQ

    ScreenplayIQ’s comparative market data and financial prediction help producers quantify script potential.

  • Government entity needing sovereign AI deployment
    Pick: VeritasGraph

    VeritasGraph is open-source, can be deployed locally, and supports RDF/linked-data for auditable, sovereign AI.

  • Studio executive making slate decisions
    Pick: ScreenplayIQ

    ScreenplayIQ’s Studio tier offers collaborative workspace and API access for team-based script analysis and data-driven slate decisions.

Frequently Asked Questions

VeritasGraph vs ScreenplayIQ: which should you choose?

ScreenplayIQ and VeritasGraph are too different to compete directly. ScreenplayIQ is a specialized tool for screenwriters analyzing feature film scripts with box office forecasting, while VeritasGraph is an open-source framework for enterprise GraphRAG applications. Choose ScreenplayIQ if you need narrative analysis and market predictions for movie scripts; choose VeritasGraph if you're building auditable, knowledge-grounded AI systems for regulated or sovereign environments.

Can I use ScreenplayIQ for TV scripts?

No, ScreenplayIQ currently supports only feature films, not TV or short films.

Can VeritasGraph be used for screenplay analysis?

VeritasGraph is a general-purpose knowledge graph framework, not designed for script analysis; ScreenplayIQ would be more suitable.

Does ScreenplayIQ offer a free trial?

Yes, there is a Free tier that includes 1 analysis per month.

Is VeritasGraph fully open-source?

Yes, VeritasGraph is open-source on GitHub, with no paid tiers.

Can I integrate ScreenplayIQ with other tools?

ScreenplayIQ offers API access on the Studio tier and integrates specifically with PitchTrailer.

What databases does VeritasGraph support?

VeritasGraph integrates with pgvector, Neo4j, and FAISS vector stores.

Which tool is better for a beginner?

ScreenplayIQ is more user-friendly for screenwriters; VeritasGraph requires experience with graphs and RAG systems.

Do these tools compete with each other?

No, they serve entirely different domains: ScreenplayIQ is for film script analysis, VeritasGraph for knowledge graph-based AI reasoning.

What else are VeritasGraph and ScreenplayIQ compared with?

Where can you read more about VeritasGraph and ScreenplayIQ?

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