Frequently Asked Questions

ipranking.io is a global entertainment IP demand intelligence platform. We track anime, gaming, and character IPs across 86 countries using 6 independent data sources, and publish the Character Valuation Score (CVS) — a transparent composite metric that quantifies IP demand on a 0–100 scale.

ipranking.io was founded and is operated by Yuma Yokota. The platform launched publicly in April 2025. We are committed to building in public with fully disclosed methodology.

Yes. The dashboard, rankings, and weekly data briefs are free to access. All ranking data is published under a CC BY 4.0 license, which means anyone can use it for research, journalism, and analysis with attribution.

ipranking.io is independently operated. Revenue comes from premium enterprise plans for studios, licensors, and investment firms that need custom analytics, data exports, and API access.

Yes. Top CVS rankings, country heat scores, and the IP catalog are published as downloadable CSV and JSON datasets under CC BY 4.0. We believe IP demand data should be transparent and accessible.

CVS (Character Valuation Score) is a weighted composite of four dimensions: Social Buzz (30%), Search Demand (25%), Global Reach (25%), and Source Coverage (20%). Each dimension is normalized to 0–100, then combined into a single score. The formula is fully documented.

Social Buzz measures real-time consumer attention through search interest data (primarily Google Trends) across tracked countries. It captures how much an IP is being actively discussed and searched for at any given time.

Search Demand measures active discovery behavior through video and search platform presence, primarily YouTube trending data and search volume by region.

Global Reach measures geographic penetration — the number of countries where an IP has measurable data. An IP trending in 60 countries scores higher than one trending in 10.

Source Coverage measures cross-platform presence — how many of our 6 data sources have data for a given IP. An IP appearing across Netflix, YouTube, Google Trends, and community platforms demonstrates broader demand.

86 countries represents the intersection of Google Trends coverage and meaningful entertainment market activity. We prioritize breadth: every continent is covered, from major markets (US, Japan, UK) to emerging ones (Nigeria, Indonesia, Vietnam).

Each source provides a unique demand signal: Netflix (streaming), YouTube (video engagement), Google Trends (search behavior), AniList/MAL (community enthusiasm), and Wikipedia (cultural awareness). Together they create a multi-dimensional view of IP demand.

Netflix updates weekly on Tuesdays. YouTube and Wikipedia update daily. AniList and MyAnimeList update every 6 hours. Google Trends updates weekly. CVS scores are recomputed every Monday.

When a data source has no data for an IP, that dimension receives a zero contribution rather than being imputed. This means IPs with broader coverage naturally score higher, which we consider a valid signal of demand breadth.

Franchise CVS aggregates individual title scores within a franchise. The formula is: MAX(title CVS) + MIN(10, active_titles × 2). This rewards franchises with a strong flagship title and multiple active entries.

Our data comes from official public sources (Netflix Tudum, YouTube Data API, Wikimedia). Accuracy is bounded by what these sources report. We document known biases: Netflix only covers its catalog, YouTube skews toward video-heavy IPs, and Google Trends provides relative rather than absolute volumes.

Key limitations: (1) No Chinese market data — Bilibili, Weibo, and Douyin are not integrated. (2) Google Trends provides relative interest, not absolute search volume. (3) Netflix only reflects its own catalog. (4) Community platforms (AniList/MAL) skew toward anime. These are documented in our methodology.

CVS is designed to be directionally accurate for relative comparisons. An IP with CVS 74 genuinely has broader, stronger demand signals than one with CVS 45. However, small differences (e.g., CVS 52 vs 54) may not be meaningful — treat them as roughly equivalent.

We cross-reference sources: if an IP trends on Netflix and Google Trends simultaneously, that increases confidence. We also maintain an external_facts table of verified industry data points (earnings, audience numbers) to sanity-check our rankings.

China is the largest gap in our coverage. We do not currently integrate Bilibili, Weibo, Douyin, or iQiyi data. IPs with strong Chinese demand (e.g., certain donghua titles) will be underrepresented in CVS. Adding Chinese sources is a priority.

Yes. We track gaming IPs including Pokémon, Genshin Impact, Zelda, Mario, Final Fantasy, and others. Gaming IPs are measured through the same 6-source pipeline as anime IPs.

Yes. We track character brands like Hello Kitty, Kumamon, Labubu, and others classified as Type C (Original IP). These are measured through search interest, Wikipedia awareness, and platform presence.

Yes. Data published under CC BY 4.0 can be used commercially with attribution to ipranking.io. For custom enterprise analytics, dedicated API access, or white-label solutions, contact us about enterprise plans.

Plain text: 'ipranking.io. (2025). "Global Entertainment IP Demand Intelligence". ipranking.io.' We also provide APA, MLA, and BibTeX citation formats on our press kit page.

API access is available on Professional and Enterprise plans (currently in private beta). The API provides programmatic access to CVS scores, rankings, country-level data, and historical trends. Contact us for early access.

Yes. We publish three datasets: Top 20 CVS rankings, country heat scores, and the full IP catalog. Available in CSV and JSON formats at /data.

Not yet. Embeddable widgets are on our roadmap. For now, you may screenshot charts with attribution to ipranking.io under CC BY 4.0.

Parrot Analytics measures demand at the content title level (e.g., 'Attack on Titan Season 4'). ipranking.io measures demand at the IP level (e.g., 'Attack on Titan' as a franchise). We also differ in transparency: our methodology and data are fully open, while Parrot Analytics uses proprietary scoring.

AniTrendz tracks weekly community polls and seasonal anime rankings. ipranking.io aggregates demand data from 6 sources across 86 countries, covering not just seasonal anime but all-time franchises, gaming IPs, and character brands.

Google Trends is one of our inputs, but it only measures search interest. It doesn't capture streaming performance (Netflix), community engagement (AniList/MAL), or cultural awareness (Wikipedia). CVS combines all of these for a more complete picture.

Netflix Top 10 only covers Netflix's own catalog and reflects streaming behavior. An IP like Pokémon has massive global demand but minimal Netflix presence. CVS captures demand across all platforms, not just one.

The frontend is built with Next.js 14 (App Router) and Tailwind CSS, hosted on Vercel. Data is stored in Supabase (PostgreSQL). Pipelines are Python and TypeScript scripts running on cron schedules. AI assistance is provided by Claude.

All data is stored in Supabase (managed PostgreSQL). The database includes tables for IPs, signal readings, CVS scores, country heat data, articles, and external facts. Infrastructure is hosted in the US.

Pages use Incremental Static Regeneration (ISR) with a 5-minute revalidation window. This means data shown is at most 5 minutes stale. CVS scores themselves update weekly on Mondays.

The codebase is not currently open source. However, the methodology, scoring formula, and output data are all open. We publish datasets under CC BY 4.0 and document our approach publicly.

The Weekly Data Brief is a weekly publication summarizing the most notable IP movements, regional shifts, and CVS changes. It's generated from live data and published every Monday.

Insights are longer analytical articles exploring specific topics: franchise comparisons, regional demand patterns, market analysis, and methodology deep-dives. Each article includes sourced facts and citation formats.

The Glossary defines key terms used across ipranking.io — from 'CVS' and 'Social Buzz' to industry terms like 'media mix' and 'character licensing'. Available in English and Japanese.

Articles are based on our own data (CVS scores, signal readings, country heat maps) combined with verified external facts from our curated fact database. All referenced data points link back to primary sources.