# Four Pillars (@FourPillarsFP) on x

- id: koinon:creator:x_fourpillarsfp
- url: https://koinonlink.com/kol/x/FourPillarsFP
- schema_version: 1.4

## Identity
- platform: x
- handle: FourPillarsFP
- platform_url: https://twitter.com/FourPillarsFP
- website: https://4pillars.io/en
- country: South Korea
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 17145
- following: 69
- posts_total: 3547
- posts_observed: 23
- posts_per_day: 2.737
- account_age_days: 1296
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00974
- best_post_interactions: 167
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: crypto
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Stablecoin regulatory developments, Institutional crypto infrastructure, AI/web3 monetization experiments, Research partnerships and industry events
- bio: Professional Research For Institutions and Crypto Natives 

Join for updates: https://t.co/fjgKxb79kI
Institutional-grade Validator: @FPValidated

## Audience (inferred)
- status: present
- description: Crypto institutions, professional researchers and native traders seeking institutional-grade analysis on stablecoins, regulations and blockchain infrastructure
- roles: none
- seniority: decision_maker
- pain_points: Tracking fragmented stablecoin regulations across Asia and their impact on USDT/USDC, Assessing new infrastructure plays like AI-driven web monetization, Identifying credible research partners and institutional events
- posts_analysed: 4
- 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: 76
- authenticity_basis: engagement_observed
- credibility_score: 76
- flagged_for_review: false
- koinon_bd_grade: A — 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_fourpillarsfp#e86d97dc] Stablecoin rules across Asia are drawing a clearer line between onshore and offshore issuers. So what does this mean for USDT and USDC? 👇 (https://twitter.com/FourPillarsFP)
- [x_fourpillarsfp#679c34c2] Cloudflare’s Monetization Gateway treats AI bots as new web users that can be charged per request, rather than as intruders that must simply be blocked. x402 provides the payment handshake for that flow, and if OUSD is added, Cloudflare can connect edge traffic, settlement, and r
- [x_fourpillarsfp#c2d16f58] https://t.co/qAIw1N5xaI
- [x_fourpillarsfp#78d6c17d] : : Four Pillars Joins EastPoint: Seoul 2026 as a Research Partner Four Pillars is joining @0xEastPoint, taking place in Seoul on September 28, as an official research partner. EastPoint is a private conference co-hosted by @hashed_official, @bloomingbit_io, and The Korea Economi

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=110, 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=110, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=109, 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=0.5, freshness_days=110, 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=109, 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=109, method=platform_profile

## Freshness
- profile_checked_days_ago: 109
- content_analysed_days_ago: 110
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 9
- 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_fourpillarsfp
- Request removal: https://koinonlink.com/claim?k=x_fourpillarsfp
- Terms: https://koinonlink.com/for-ai