Observal vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionObservalScreenplayIQ
Primary FocusAI agent component registry & analyticsScreenplay analysis & box office prediction
Key IntegrationsClaude Code, Cursor, Kiro IDE, Gemini CLI, Copilot CLI, VS CodePitchTrailer
Self-HostedYes (Docker Compose)No (cloud-based)
Target UsersAI/ML teams, DevOps, organizations with data privacy needsScreenwriters, producers, studio execs
Best ForManaging internal AI components & agent tracesData-driven script feedback & financial forecasts
Observal
Observal

Observal is a self-hosted registry and observability layer for AI coding agent skills, MCP servers, and agent traces.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that returns a logline, comps, character arcs, and proofed fixes on your draft

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Pricing
Free
Paid
Plans
$0
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
5 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIWeb
WebAPI
Categories
🔌 MCP Servers & Agent Tooling📡 LLM Observability & Evals
📖 Fiction & Screenwriting
Features
Self-hosted registry for skills, MCP servers, hooks, prompts, and agents
Version and review workflow for every component your team publishes
Pull a whole agent into any harness with one command as team/agent
Session traces capturing prompts, tool calls, MCP round trips, tokens, and errors
Hook-based trace capture across Claude Code, Codex, Cursor, Kiro, Goose, and Copilot CLI
Agentic Resource Discovery (ARD) so clients query the registry by task description
Teamspaces give each team its own namespace, private or published after review
Agent Insights report naming the failure, the proving metric, and the prompt change
Cross-harness rendering from one agent definition
Docker Compose stack running Postgres, ClickHouse, and Redis on your infrastructure
CLI install via pipx with registry submit and versioned agent updates
Server bootstrap script install-server.sh
Apache-2.0 source, forkable with no vendor lock-in
No-sampling session capture: every session from every harness becomes a trace
Component usage trends to retire skills and prompts nobody installs
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market framing
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
Claude Code
Codex
Cursor
Kiro
Copilot in VS Code
Copilot CLI
OpenCode
Antigravity
Goose
Pi
GitHub

What real users say: Observal vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Observal

29 mentions across 3 sources · 50% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, GitHub

What users praise

  • • Self-hosted ensures full data ownership and compliance.
  • • Cross-harness support covers Claude Code, Cursor, and more.
  • • Version management for skills, MCPs, and prompts.
  • • Session traces provide token usage and tool call insights.

What frustrates them

  • • Youthful project with limited community feedback.
  • • 228 open issues may delay fixes or features.
  • • Docker Compose setup requires technical expertise.
  • • No dedicated support channels beyond GitHub issues.

Researched Aug 31, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “ScreenplayIQ”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Screenwriter seeking market feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural analysis and box office prediction directly relevant to improving script marketability.

  • AI/ML team managing internal agent components
    Pick: Observal

    Observal offers a self-hosted registry with versioning and analytics for skills, MCPs, and traces, ideal for teams with privacy requirements.

  • Studio executive evaluating script investments
    Pick: ScreenplayIQ

    The box office prediction and comparative market data help inform slate decisions.

  • DevOps engineer building multi-agent systems
    Pick: Observal

    Observal's dependency tracking, CLI, and REST API integrate into CI/CD workflows for AI components.

  • Producer needing pitch deck generation
    Pick: ScreenplayIQ

    ScreenplayIQ's PitchTrailer integration creates pitch decks from script analysis.

Frequently Asked Questions

Can ScreenplayIQ edit or grammar-check my script?

No, it focuses on structural and market analysis, not line-by-line editing.

Does Observal support any AI agent framework?

It integrates with Claude Code, Cursor, Kiro IDE, Gemini CLI, Copilot CLI, and VS Code.

Is ScreenplayIQ suitable for TV scripts or short films?

It is designed for feature films only, with a 150-page limit.

What are the infrastructure requirements for Observal?

It requires Docker Compose to run Postgres, ClickHouse, and Redis on your own servers.

Can I try ScreenplayIQ for free?

Yes, the Free tier includes one analysis per month.

Does Observal provide pre-built public components?

No, it is a local registry for your own components; you must upload them.

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Last reviewed: July 8, 2026