Subsurface Energy LLC
86976462-a32e-4a43-a232-bc55aff79607
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T23:48:01.469420+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
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-049 Subscription VALUE High
Direct: monetization_vector contains [Commodity price monetization (oil, gas, NGL volumes × realized price); upside via hedging gains; no SaaS, subscription, or services revenue stream identified.]; revenue_model_type=Nearly 100% transactional — revenue derived from spot and hedged commodity sales; minimal recurring contracted revenue unless under long-term offtake agreements with midstream operators.
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-037
Product as a Service
VALUE High
SG-024
Lock-in
WHO High
SG-036
Product to Capability
WHAT High

Hybrid Combination

Subscription (SG-049) VALUE provides the core structure, combined with Customer Loyalty (SG-009) + Flat Rate (SG-014) + Product as a Service (SG-037) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 6 Medium: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Private O&G company; estimated D/E ratio 1.5–2.5x typical for upstream E&P; a 200bps rate rise likely adds $2–5M annual interest expense depending on floating-rate debt tranche size.
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate credit facility exposure moderate-to-high; 200bps increase on estimated $50–150M revolver could compress free cash flow by 10–20%, tightening reinvestment capacity.
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
1) Permian Basin oilfield services concentration (frac sand, water logistics); 2) Gulf Coast LNG/midstream infrastructure chokepoints vulnerable to hurricane disruption and export terminal bottlenecks.
Inferred
Agent_Inference
international_expansion_readiness
Operations appear predominantly U.S.-domestic (Texas/Gulf Coast E&P); sovereign currency devaluation exposure is minimal; international revenue likely near zero.
Inferred
Agent_Inference
geographic_footprint
Primarily U.S.-based onshore E&P operations; limited international footprint reduces currency devaluation risk but also limits diversification; concentrated in Texas and Gulf Coast region.
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
High dependency likely on 1–2 oilfield services majors (Halliburton/SLB) for completions and drilling; these vendors may represent 40–60% of lifting costs with limited short-term substitutability.
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy upstream E&P; cloud infrastructure not a primary operational dependency; a cloud account termination would affect back-office/data analytics but not core production operations.
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital operations (reservoir modeling, ERP) may use cloud; migration risk is moderate but manageable within 30–90 days given commodity-sector cloud usage patterns.
Inferred
Agent_Inference
switching_cost_profile
API coupling risk low; industry-standard reservoir simulation software (Eclipse, CMG) used broadly; switching costs are workflow/data-migration based, not contractual API lock-in.
Inferred
Agent_Inference
howey_test_risk_index
Revenue model is commodity sales (oil, gas, NGLs); does not meet Howey Test criteria — no pooled investment in a common enterprise with profit expectation from others' efforts. SEC risk: low.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure given U.S.-domestic operations; CCPA applies to employee/vendor data only; no consumer data collection; compliance cost estimated below $200K annually.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; E&P sector is highly fragmented; Subsurface Energy is a small-to-mid independent with no market-dominant position in production, pricing, or midstream access.
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
Nearly 100% transactional — revenue derived from spot and hedged commodity sales; minimal recurring contracted revenue unless under long-term offtake agreements with midstream operators.
Inferred
Agent_Inference
monetization_vector
Commodity price monetization (oil, gas, NGL volumes × realized price); upside via hedging gains; no SaaS, subscription, or services revenue stream identified.
Inferred
Agent_Inference
pricing_architecture
Price-taker model; realized prices set by NYMEX/WTI benchmarks minus differentials; no proprietary pricing power; stress scenario of $20/bbl WTI decline compresses EBITDA 40–70%.
Inferred
Agent_Inference
pricing_power_rating
Very low (1/10); fully commodity-exposed price-taker; pricing power limited to basis differential management and hedging discipline, not market influence.
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated gross margin 40–60% at $70–80 WTI; lifted by low-cost Permian-style operations if applicable; margins compress sharply below $55/bbl breakeven threshold.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage applicable; commodity business with direct buyer contracts; volume offtake risk exists if midstream contracts lapse, but traditional churn model does not apply.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; production increases via capital deployment (wells drilled), not labor scaling; doubling production may require only 20–30% headcount increase.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (drill/complete wells at $4–10M each) but operationally sublinear on labor; growth gated by capital access, not workforce scaling.
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, offtake counterparty concentration risk rises; current bilateral commodity sale model may require midstream/marketing infrastructure investment; CAC effectively zero (commodity pull model).
Inferred
Agent_Inference
network_effect_present
No network effects present; oil and gas production is a non-networked commodity business; value does not increase with number of producers or buyers on platform.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core drilling/production; moderate for reservoir engineering roles; field operations remain human/equipment intensive; AI adoption could reduce G&G headcount 15–25%.
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (moderate recession vulnerability); oil demand drops 1–3% in recessions, but price volatility (40–60% drawdown possible) creates severe cash flow risk for leveraged E&P operators.
Inferred
Agent_Inference
customer_segment_primary
Commodity purchasers: midstream operators, refiners, and trading desks (e.g., Plains All American, Targa, commodity trading arms); likely 1–3 buyers represent 70–90% of revenue.
Inferred
Agent_Inference
customer_segment_secondary
Natural gas and NGL buyers including utilities and petrochemical offtakers; secondary segment subject to seasonal demand variation and regional pipeline capacity constraints.
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
High-capex model; estimated 60–80% of operating cash flow reinvested in drilling/completion programs; capital allocation toward growth wells, not legacy infrastructure modernization.
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
null
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_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01FAIL2026-07-201 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.