---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Oracle Card Comps"
developer_entity: "Micah Kleinert"
bundle_id: "Cards.oraclecard.mobile"
app_store_id: "6772169458"
category: "Sports"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-12"
report_date: "2026-10-13"
last_verified: "2026-10-13T00:00:00.000Z"
report_version: "1.0.1"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 32
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["sports", "free", "mobile app", "app review", "app analysis", "sports", "pokémon", "collectors"]
canonical_url: "https://marlvel.ai/apps/oracle-card-comps"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Oracle Card Comps Intelligence Report

## TL;DR {#tldr}

- **Category**: Sports · Free

> **TL;DR:** Oracle Card Comps is a sports app by Micah Kleinert, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Oracle Card Comps is a sports app by Micah Kleinert.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Sports |
| **Developer** | Micah Kleinert |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 32d |

## Metadata & Market Performance
- **Publisher:** Micah Kleinert
- **Category:** Sports
- **Target Audience:** Sports card and Pokémon collectors looking to track market values and manage their personal inventory.
- **Platforms:** iOS
- **Version Reviewed:** 1.0.1
- **Report Date:** 2026-10-13
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6772169458
- **Bundle ID:** Cards.oraclecard.mobile
- **Data Window:** Analysis based on signals collected up to 2026-10-13

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Oracle Card Comps is a mobile valuation tool for sports and Pokémon card collectors that uses AI to identify cards and track market values.
**Why users hire it:** The app removes the time-intensive friction of manual card research and cataloging for collectors managing large, fluctuating inventories.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI Valuation:** Identifies card set, parallel, and grade from photo or text input, driving daily active usage and ad-inventory per session.
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
- **[Differentiator] Bulk Scan:** Processes multiple cards in a single photograph, reducing time-to-value and increasing retention by lowering cataloging friction.
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
- **[Standard] Portfolio Tracking:** Monitors gains and losses of card collections over time, creating high switching costs and reinforcing user retention.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Oracle Card Comps operates as a free, utility-focused tool in the sports collectibles category. Its lack of documented monetization tiers suggests a focus on user acquisition over immediate revenue generation.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Analysis:** The app is currently free to download with no explicit subscription or IAP tiers documented in the store metadata.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- AI-powered bulk scanning reduces cataloging friction for high-volume collectors
- Portfolio tracking creates long-term data lock-in for users

**Growth Levers:**
- Implementing subscription tiers for advanced market analytics could capture power-user value


<!-- /section:swot -->
<!-- section:whats-new -->
## What's New

- **Latest (v1.0.1, 3 months ago):** Improved first-launch performance, refined card valuation indicators, and resolved bulk scan screen errors.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Ships bug fixes at 13-week cadence.
- Last major release three months ago.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 92 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Oracle Card Comps is a sports app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** Oracle Card Comps provides high-utility valuation tools, but its maintenance-only cadence limits its ability to compete with more active rivals. Implementing a clear monetization path would unlock revenue potential and justify the engineering investment required to keep valuation data accurate.
<!-- speakable-end -->

**Best for:** Sports card and Pokémon collectors looking to track market values and manage their personal inventory.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] Ship a premium subscription tier because the current free model lacks revenue capture → increase ARPU
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Mixed

The sports card valuation market is increasingly driven by real-time data accuracy and rapid feature iteration. Oracle Card Comps is currently exposed due to its slow release cadence, which may lead to user churn if valuation data becomes less reliable than that of more active competitors.

- 🔴 The 92-day update gap suggests a maintenance-only posture, which risks data staleness as market prices for cards fluctuate daily.
- ⚪ The free-to-use model attracts users but lacks a clear path to revenue, potentially limiting long-term sustainability for the developer.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Oracle Card Comps** (this app) | N/A/5 | N/A | Micah Kleinert |
| [BeSoccer: Soccer Live Score](https://marlvel.ai/apps/besoccer-soccer-live-score) | 4.5/5 | Mixed | BESOCCER |
| [BeSoccer: Soccer Live Score](https://marlvel.ai/apps/besoccer-soccer-live-score-1) | 4.5/5 | Excited | BeSoccer apps |
| [Football Playbook Animator](https://marlvel.ai/apps/football-playbook-animator) | 4.6/5 | N/A | BJT Software LLC |
| [Football Play Designer](https://marlvel.ai/apps/football-play-designer) | 4.1/5 | N/A | greg brady |
| [QZ Fitness](https://marlvel.ai/apps/qz-qdomyos-zwift) | 4.8/5 | Thrilled | Roberto Viola |

## Company Profile
- **Developer:** Micah Kleinert
- **Website:** [https://oraclecard.cards](https://oraclecard.cards)

## Data Sources & Links
- **App Store ID:** 6772169458
- **Dev Site:** [Official Website](https://oraclecard.cards)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*BeSoccer: Soccer Live Score*](https://marlvel.ai/apps/besoccer-soccer-live-score) (BESOCCER) · 4.5/5 Rating
- [*BeSoccer: Soccer Live Score*](https://marlvel.ai/apps/besoccer-soccer-live-score-1) (BeSoccer apps) · 4.5/5 Rating | Positive Sentiment
- [*Football Playbook Animator*](https://marlvel.ai/apps/football-playbook-animator) (BJT Software LLC) · 4.6/5 Rating
- [*Football Play Designer*](https://marlvel.ai/apps/football-play-designer) (greg brady) · 4.1/5 Rating
- [*QZ Fitness*](https://marlvel.ai/apps/qz-qdomyos-zwift) (Roberto Viola) · 4.8/5 Rating | Excellent Sentiment
- [*플레이공*](https://marlvel.ai/apps/com-tychesoft-playball) (Tychesoft) · N/A Rating
- [*더블이글 - 요즘 골프예약*](https://marlvel.ai/apps/com-albatrss-de) (Double Eagle Inc.) · 4.0/5 Rating
- [*테니스타운*](https://marlvel.ai/apps/com-momzit-tennistown) (link.tennistown) · 3.5/5 Rating
- [*イッツゴーン！ボイス*](https://marlvel.ai/apps/jp-co-gaora-itsgone) (GAORA Inc.) · N/A Rating
- [*トニーくんのビッグバンサーブ*](https://marlvel.ai/apps/jp-hase-volley4) (hasegawa takuji) · 4.0/5 Rating

## Frequently Asked Questions {#faq}

### Is Oracle Card Comps free to use?

Yes, Oracle Card Comps is currently free to download and use, with no documented subscription or in-app purchase tiers in the store metadata.

### Does Oracle Card Comps support Pokémon cards?

Yes, the app description explicitly lists Pokémon alongside football, basketball, and baseball as supported card types.

### How does Oracle Card Comps determine card value?

The app uses AI to identify the card, set, parallel, and grade, then provides an estimated value based on real, recent comparable sales.

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 32 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/oracle-card-comps)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.