ChatGPT Plugin

Quilty

Read screenplay analyses

Brand: Quilty

Category: Content & Design
Primary Subcategory: Expert Answers & Professional Services

Integration details

Description

Quilty lets ChatGPT read the completed screenplay analyses you already own on quilty.app. You can list your reports, open a section of coverage, pull the Quilty Score with its confidence range and pillar breakdown, read screenplay metadata, and search scenes in the uploaded script. All tools are read-only. The plugin cannot upload scripts, start analyses, change settings, or spend credits. It only sees analyses on the Quilty account you sign in with. Quilty Score is a diagnostic assessment of the uploaded text, not a prediction of box office or commercial outcome.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Content & Design
Primary Subcategory: Expert Answers & Professional Services
Secondary Subcategories: None listed
Brand: Quilty
Access: Account required
First tracked: 2026-09-13
Tool count: 13
Geography: US

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Primary Subcategory

Competing in ChatGPT Expert Answers & Professional Services

View Category

Listed in alphabetical order

Primary Subcategory

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QuiltyComing soonGet notified

Tools

13 tools agents can invoke

Compare two completed analyses the user owns. Returns both briefs plus deterministic score and pillar deltas and side-by-side strengths, issues, and actions. Does not invent narrative differences. Returns insufficient_data if either analysis is missing, unfinished, or not owned by the user.
compare_analyses
Return the QuiltyScoreV5 for one analysis: score, confidence_low, confidence_high, model_agreement, pillar_breakdown, and basis. This is a DIAGNOSTIC assessment, never a prediction of commercial outcome. Returns insufficient_data if no score exists. Always surface the disclaimer field to the user.
get_quilty_score
Return one bounded overview of a completed analysis: title, diagnostic score and confidence, verdict, headline strengths and issues, priority actions, and chapter summaries with section keys. Prefer this after list_analyses. Use get_analysis_chapter or get_analysis_section to drill into evidence. Diagnostic only.
get_analysis_brief
Return one report chapter (for example storycraft, market, character) as ordered section objects. Paginated with the same 24000-character default and 60000 hard cap as get_analysis_section. Pass chapter key from get_analysis_brief or get_analysis_manifest. Follow next_cursor for the rest.
get_analysis_chapter
Return the section index for one analysis: chapters, section keys, human labels, and approximate token sizes. Does NOT return section bodies — use get_analysis_section. Returns status insufficient_data if the analysis is missing, unfinished, or not owned by the user.
get_analysis_manifest
Return a short-lived URL (about five minutes) for the owner's private full-analysis PDF. Use only when the user asks for the complete formatted report. Not a public share link. Returns insufficient_data if the analysis is missing or the PDF cannot be produced.
get_analysis_report_url
Return ONE section of an analysis, paginated. Pass the section key from get_analysis_manifest. Default max_chars is 24000 (~6k tokens); hard cap 60000. Follow next_cursor for the rest. Returns insufficient_data if the section is missing. Diagnostic only — never invent missing content.
get_analysis_section
Return comparable films (title with year) and/or the IP market analysis blob. Pass include as 'comparables', 'ip', or 'comparables,ip' (default both). Diagnostic only — comparables are not a box-office forecast.
get_market_intelligence
Return title (with year), page count, genre, content type, and released-film match state for one screenplay. Does not return analysis section bodies.
get_screenplay_metadata
Return the nested talent_summary plus user-budget and modeled-budget talent sections for one analysis, unchanged from stored JSONB. Returns insufficient_data if none of those sections exist.
get_talent_package
List the authenticated user's completed Quilty analyses. Returns analysis_id, screenplay_id, title with year, content_type, score, and completed_at. Diagnostic metadata only — use get_analysis_brief next for a bounded overview. Paginate with cursor.
list_analyses
Case-insensitive keyword or phrase search across the completed analysis report (not the screenplay text). Returns section keys, labels, match counts, and short snippets. Use search_screenplay to search scene text. Diagnostic only — do not invent matches.
search_analysis
Semantic search over the SCREENPLAY TEXT (scenes), not the analysis report. Returns ranked scene snippets with heading and similarity. Prefer many small targeted searches. Returns insufficient_data if the screenplay has no extractable scenes.
search_screenplay

FAQs

Quilty ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Quilty's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Quilty alternatives on ChatGPT?

As of 2026-10-25, Quilty competes with Asamla, Ask a Jury, CanadaVisa Citizenship Check, Devis sécurité privée · Flank, ecoExperten Energieausweis, FixersInParis, GenealogyDirect, HumanFn and 21 more in ChatGPT Expert Answers & Professional Services, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.