Carrot Labs vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionCarrot LabsScreenplayIQ
Core FocusAI cost tracking per request, customer, feature, teamScreenplay analysis + box office prediction
Key FeaturePer-request attribution via SDK; Engineering ROI (GitHub ↔ Cursor)Box office prediction; emotional journey charts; PitchTrailer integration
Integrations100+ AI providers via LiteLLM (OpenAI, Anthropic, Gemini, etc.)PitchTrailer only
Target UsersEngineering leaders, finance teams, product managersScreenwriters, producers, studio executives
Additional Insights (News)Multiple recent articles (Jul 2026) on per-customer cost, ROI, token optimizationNo recent news

If you need to control AI spend across providers and teams with per-request granularity, Carrot Labs is essential. ScreenplayIQ is a niche script analysis tool for film professionals — great if you're a screenwriter, but irrelevant for most AI users. Pick based on your job: engineering leader → Carrot Labs; screenwriter/producer → ScreenplayIQ.

Carrot Labs
Carrot Labs

SuperPenguin, by Carrot Labs, is AI spend intelligence that attributes every AI dollar by customer, feature, team, and merged pull request.

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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
Freemium
Paid
Plans
$0/mo
$30/mo
$200/mo
Custom
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPIDesktop
WebAPI
Categories
📡 LLM Observability & Evals🧮 Business Intelligence
📖 Fiction & Screenwriting
Features
Per-request AI cost attribution in dollars via Python and TypeScript SDKs
Tag each call with customer, feature, team, environment, or prompt version
Define your own cost dimensions with no cardinality caps
One View: every provider bill rolled into a single total
Coding ROI: cost per merged GitHub pull request across Cursor, Claude Code, and Codex
Cost per merged pull request rolled up by repository
Free Mac app showing live agent spend in the menu bar
Agent workflow tracking: attribute each agent run to customer, team, and feature
Cohere chat, embeddings, and reranking tracking, including AWS Bedrock calls
AI coding cost comparison by person and team, exportable as CSV
Organization structure import from CSV or pasted spreadsheet cells
Spend alerts to Slack, Discord, or email within minutes of a breach
Daily thresholds, spike detection versus yesterday, and monthly budget caps
End-of-month spend forecast on Pro and Enterprise
Invoice reconciliation that flags hidden charges and billing errors
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
OpenAI
Anthropic
Google Gemini
AWS Bedrock
Azure
Deepgram
ElevenLabs
Together AI
Fireworks AI
Modal
OpenRouter
Vercel AI Gateway
LiteLLM
Cursor
GitHub

Who should pick which

  • Engineering leader managing AI costs
    Pick: Carrot Labs

    Carrot Labs provides per-request attribution, team breakdowns, and Engineering ROI linking GitHub to Cursor spend — exactly what you need to optimize AI costs.

  • Screenwriter seeking market feedback
    Pick: ScreenplayIQ

    ScreenplayIQ offers box office prediction, structural analysis, and pitch materials tailored for feature films.

  • Finance team reconciling AI invoices
    Pick: Carrot Labs

    Invoice reconciliation and hidden charge detection are core features, plus multi-provider support.

  • Film producer evaluating script ROI
    Pick: ScreenplayIQ

    Comparative market data and emotional journey charts help quantify commercial potential.

Frequently Asked Questions

Carrot Labs vs ScreenplayIQ: which should you choose?

If you need to control AI spend across providers and teams with per-request granularity, Carrot Labs is essential. ScreenplayIQ is a niche script analysis tool for film professionals — great if you're a screenwriter, but irrelevant for most AI users. Pick based on your job: engineering leader → Carrot Labs; screenwriter/producer → ScreenplayIQ.

Can Carrot Labs track cost per customer?

Yes, via custom metadata tags you can tag requests by customer ID and see spend breakdown in the dashboard.

Does ScreenplayIQ support TV pilots or short films?

No, it is designed for feature-length scripts only (under 150 pages).

Do I need to change my API keys to use Carrot Labs?

No, you keep your own API keys; Carrot Labs does not proxy requests.

Can ScreenplayIQ generate a trailer for my script?

Yes, via PitchTrailer integration, it can create an audio-visual pitch deck.

What kind of alerts does Carrot Labs offer?

Spend alerts via Slack, email, or Discord; also spike detection and monthly budget caps.

Is ScreenplayIQ collaborative?

Yes, it supports collaborative workspaces for up to 5 users.

Does Carrot Labs support Azure or AWS Bedrock?

Yes, both are included in its multi-provider integrations.

Can ScreenplayIQ analyze animation or documentary scripts?

It offers genre classification, so likely yes, but its box office prediction may be calibrated for commercial features.

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Last reviewed: July 3, 2026