# Prediction Frontier (@info_prediction) on x

- id: koinon:creator:x_info_prediction
- url: https://koinonlink.com/kol/x/info_prediction
- schema_version: 1.4

## Identity
- platform: x
- handle: info_prediction
- platform_url: https://twitter.com/info_prediction
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 538
- following: 4
- posts_total: 36
- posts_observed: 1
- posts_per_day: 0.202
- account_age_days: 178
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: investing
- category_confidence: 0.89
- category_source: derived_from_recent_content
- topics: Regulatory compliance in prediction markets, Legal challenges in fintech exchanges, CFTC licensing and regulatory oversight, Prediction market infrastructure and exchange operations, Cross-border regulatory risks in EU and US

## Audience (inferred)
- status: present
- description: Regulatory and compliance professionals in prediction markets, primarily from fintech startups and crypto-native exchanges
- roles: ads
- seniority: practitioner
- pain_points: Navigating complex and evolving regulatory landscapes for prediction markets in the US and EU, Dealing with legal challenges from regulators, such as injunctions and licensing disputes, Ensuring compliance with CFTC and other financial authority requirements
- posts_analysed: 6
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 38
- authenticity_basis: profile_shape_only
- credibility_score: 38
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_info_prediction#dbf8f9fa] Surveillance in prediction markets is no longer just an order-book problem. By extending @Solidus_Labs from KalshiEx to Kinetic Markets, @Kalshi is putting monitoring across exchanges, FCMs, and clearing — the full-stack institutions will trade through. Read more👇 https://t.co/B (https://twitter.com/info_prediction/status/2072977565338263797)
- [x_info_prediction#34659c5e] Prediction Frontier Newsletter #5 https://t.co/VQbpzhRq1c
- [x_info_prediction#a0df9a4d] "Prediction markets are largely about sports, and Underdog is the best at sports." — @JerLevine, announcing @Underdog's own CFTC-licensed exchange today More details👇
- [x_info_prediction#2c4cb4a1] https://t.co/o1UI47qGKp
- [x_info_prediction#6c3f3c08] @Kalshi just lost its bid for a preliminary injunction against New York's gaming regulators. Judge Analisa Torres (SDNY) denied the request July 7 in KalshiEX v. Williams — the fight over CFTC vs. state jurisdiction on sports event contracts continues. Full story👇 https://t.co/J
- [x_info_prediction#4c19b0bd] EU Regulator Warns Prediction Market Operators May Already

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=80, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=111, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 8
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_info_prediction
- Request removal: https://koinonlink.com/claim?k=x_info_prediction
- Terms: https://koinonlink.com/for-ai