Mireye vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionMireyeScreenplayIQ
Best ForInsurance underwriters, lenders, AI agents, site selection analystsScreenwriters, producers, studio executives, script coverage analysts
Core FeaturesProvenance-tagged geospatial data, 207 fields, LLM-synthesized answers, MCP serverAI screenplay analysis, box office prediction, heatmaps, genre classification
IntegrationsClaude Desktop, CursorPitchTrailer
Geographic CoverageUS coordinates onlyFeature films (English, under 150 pages)
Target IndustryInsurance, real estate, energy, GISEntertainment (film & TV)
Mireye
Mireye

Mireye is a cited US geospatial API and MCP server that gives AI agents auditable facts about any place.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes

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Pricing
Freemium
Paid
Plans
$0/mo
$19/mo
$99/mo
Custom
~$24 TV / ~$38 Feature (based on page length)
~$48 TV / ~$78 Feature (based on page length)
~$60 TV / ~$98 Feature (based on page length)
~$24 TV / ~$38 Feature
Popularity
8 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIPlugin
WebAPI
Categories
🌐 Web Scraping & Search APIs🔌 MCP Servers & Agent Tooling
📖 Fiction & Screenwriting
Features
/v1/ask natural-language endpoint returning cited answers with a replayable execution plan
/v1/fetch cited typed fields at any US location, batched with partial-failure reporting
/v1/geocode address-to-coordinate resolution that refuses centroid-grade matches
/v1/lookup returns canonical parcel, parcel ID, boundary geometry, owner of record, county and census-tract codes
/v1/proximity drive-time distance and matrix, nearest-N, screening and labor-shed population for US and Canada
/v1/field-requests plain-language requests for missing data, matched against the catalog first
MCP server exposing geospatial tools to Claude, ChatGPT, Kimi, Gemini, Cursor, Grok, Copilot, DeepSeek and custom agents
15 use-case presets including solar_siting, flood_risk, data_center_siting, grid_interconnect and wildfire_underwrite
366 cited typed fields across 7 layers: terrain, land cover, built environment, utilities, parcels, climate, hazards
Per-field provenance: source name, source_url, fetched_at timestamp and confidence bucket
Public unauthenticated catalog endpoint at GET /v1/meta/fields
Batch processing: hundreds of locations per call, one bad address does not fail the rest
Typed refusals on low-confidence matches and typed no for data the index cannot serve
Absence as a structured answer: missing records return absent with a reason, source failures surface in partial_failures with a retryable flag
Multiple auth methods including bearer token, dashboard API token and device-flow login
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market fit
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 Desktop
Claude Code
ChatGPT
Gemini
Cursor
Grok
Copilot
DeepSeek
Kimi

Who should pick which

  • Film producer evaluating script commercial viability
    Pick: ScreenplayIQ

    ScreenplayIQ provides box office predictions, comparative market data, and structural feedback, directly helping producers decide which scripts to fund.

  • Insurance underwriter assessing property risk
    Pick: Mireye

    Mireye delivers provenance-tagged geospatial data (flood risk, wildfire hazard) with citations, essential for auditable underwriting decisions.

  • AI agent developer needing US geospatial context
    Pick: Mireye

    Mireye's MCP server and REST endpoints allow seamless integration with AI agents, providing cited field data for any coordinate.

  • Screenwriter seeking data-driven script improvement
    Pick: ScreenplayIQ

    ScreenplayIQ's beat sheet generation, pacing heatmap, and character arc analysis give actionable feedback for revising a feature film script.

  • Site selection analyst for solar farm
    Pick: Mireye

    Mireye includes presets for solar_siting, terrain, and climate data, helping analysts screen locations with federally sourced information.

Frequently Asked Questions

Can ScreenplayIQ analyze TV scripts or short films?

No, ScreenplayIQ is designed for feature films only (under 150 pages) and supports English scripts.

Does Mireye cover global coordinates?

No, Mireye only supports US coordinates (including territories). Not suitable for international sites.

Is there a free tier for ScreenplayIQ?

Yes, Free tier includes 1 analysis per month with limited features. Pro and Studio plans unlock unlimited analyses and collaborative features.

Does Mireye provide proprietary risk scores?

No, Mireye returns raw field values with provenance. It does not compute proprietary risk scores; data is sourced from federal sources.

Can I export ScreenplayIQ reports?

Yes, reports can be exported as PDF. The tool also integrates with PitchTrailer for pitch deck generation.

How does Mireye authenticate users?

Authentication via bearer token, dashboard API token, device-flow login, or MCP OAuth.

Which integrations does ScreenplayIQ support?

Currently only PitchTrailer. No direct integration with screenwriting software like Final Draft (though you can upload script files).

What is Mireye's model for partial failures?

Mireye reports partial failures with a retryable flag for fields that are unavailable, allowing developers to handle gracefully.

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Last reviewed: July 3, 2026