Medco Energi Internasional Tbk
0ce48da0-08c2-4cea-bcf7-37a118a104c4
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T10:46:43.936742+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Schlumberger/SLB and Halliburton collectively provide critical drilling/oilfield services; no single vendor >30% but switching costs are high in frontier basins
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~USD 2.8B, Net Debt/EBITDA ~3.5x; 20% rate rise adds ~USD 56M annual interest expense, compressing FCF by ~15%
Inferred
Agent_Inference
interest_rate_sensitivity
~60% of debt is floating-rate; 200bps rise increases annual interest burden by ~USD 50-60M, material given thin FCF margins
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Strait of Hormuz (LNG/crude transit from Middle East ops) and South China Sea (Indonesia-to-Asia export routes)
Inferred
Agent_Inference
international_expansion_readiness
Operations in Indonesia (IDR), Libya (LYD), and Oman (OMR); IDR historically volatile (-5 to -15% swing years), LYD highly exposed to political devaluation risk
Inferred
Agent_Inference
geographic_footprint
Indonesia (~70% revenue, IDR exposure), Libya (USD-denominated contracts, political risk), Oman (OMR pegged to USD, low devaluation risk)
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Schlumberger/SLB and Halliburton collectively provide critical drilling/oilfield services; no single vendor >30% but switching costs are high in frontier basins
Inferred
Agent_Inference
business_model_type_primary
Upstream oil and gas E&P; no material cloud infrastructure dependency — operational systems could migrate within 60-90 days without revenue disruption
Inferred
Agent_Inference
business_model_type_secondary
Trading and midstream gas monetization; cloud disruption risk negligible — legacy ERP and SCADA systems dominate operational infrastructure
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operations rely on proprietary SCADA/reservoir management software, not third-party API ecosystems
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from hydrocarbon extraction and sales — clearly commodity business, not an investment contract or securities offering
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; B2B commodity seller with no significant EU/US retail customer data collection or processing
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in competitive global oil and gas market with no dominant market share in any single jurisdiction
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~80% transactional (spot and term commodity sales), ~20% quasi-recurring via multi-year PSC/gas sales agreements with state offtakers
Inferred
Agent_Inference
monetization_vector
Hydrocarbon production and sale (oil, gas, LNG) under Production Sharing Contracts; supplemented by gas monetization via long-term agreements
Inferred
Agent_Inference
pricing_architecture
Price-taker model tied to Brent crude and JKM LNG benchmarks; no independent pricing power — stress scenario of 30% Brent decline cuts EBITDA ~40%
Inferred
Agent_Inference
pricing_power_rating
Very low (1/5); fully commodity-price-exposed with no proprietary pricing leverage or differentiated product premium
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~45-55% at Brent USD 75-85/bbl; compresses to ~25-35% at USD 55/bbl due to high fixed lifting and PSC cost structure
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; commodity sales are fully transactional with no public-good or shared-infrastructure element
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear not headcount-linear; doubling production requires ~2x capex but only ~20-30% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear headcount scaling; incremental production growth driven by drilling capex, automation, and contractor labor, not permanent FTE additions
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; no franchise network — operates directly via PSCs and joint ventures with national oil companies
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains near-zero (commodity sold to traders/state buyers); unit economics hinge on finding and development cost per BOE (~USD 8-12/BOE)
Inferred
Agent_Inference
network_effect_present
No network effects; hydrocarbon production is a linear resource-extraction model with no user-base compounding dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core extraction; moderate risk in seismic interpretation and reservoir modeling where AI could reduce G&G headcount 20-30%
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (cyclical); oil demand falls 1-3% in severe recessions, but price impact is asymmetric — Brent can drop 40-60%, devastating cash flows
Inferred
Agent_Inference
customer_segment_primary
National oil companies and state utilities (Pertamina, PLN) as primary offtakers — high concentration, ~50% of gas revenue
Inferred
Agent_Inference
customer_segment_secondary
International commodity traders and industrial buyers for oil liftings; more diversified but still top-5 customers likely represent >60% of revenue
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "19-0000 Life, Physical, and Social Science Occupations", "23-0000 Legal Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capex reorienting toward gas and LNG infrastructure (Corridor block, Forel/Merak fields) from legacy mature oil fields; ~USD 400-600M annual capex guidance
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
MEDC.JK trades at ~4-5x EV/EBITDA, below regional E&P peers at 5-7x, reflecting IDR devaluation risk, Libya geopolitical discount, and high leverage — partial discount is justified
Inferred
Agent_Inference

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-21no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.