Triple Point Commodity XL CTRM REST API

Triple Point Commodity XL commodity trading and risk management (CTRM) REST API for energy producers, commodity traders, utilities, and industrial companies to manage commodity trade capture, position tracking, risk analytics, physical operations, and settlement — enabling automated commodity risk reporting, P&L calculation, mark-to-market valuation, and physical commodity logistics through Triple Point's enterprise CTRM platform for energy, metals, agricultural, and petrochemical commodities. Enables AI agents to manage trade capture for commodity deal entry and counterparty automation, handle position management for long/short commodity exposure automation, access risk analytics for VaR, CVaR, and P&L calculation automation, retrieve mark-to-market for real-time commodity portfolio valuation automation, manage physical operations for cargo, pipeline, and transport logistics automation, handle settlement for invoice creation and payment matching automation, access pricing for commodity curve and forward price management automation, retrieve scheduling for physical delivery nomination automation, manage credit for counterparty exposure and limit monitoring automation, and integrate Triple Point with ERP, trading systems, and market data providers for end-to-end commodity risk management automation.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Other triple-point CTRM ETRM commodity-trading energy-trading risk-management
⚙ Agent Friendliness
46
/ 100
Can an agent use this?
🔒 Security
70
/ 100
Is it safe for agents?
⚡ Reliability
60
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
10
Documentation
60
Error Messages
58
Auth Simplicity
64
Rate Limits
52

🔒 Security

TLS Enforcement
96
Auth Strength
68
Scope Granularity
58
Dep. Hygiene
62
Secret Handling
66

CTRM/ETRM. CFTC, EMIR. OAuth2. US/EU. Commodity trading and risk data.

⚡ Reliability

Uptime/SLA
58
Version Stability
64
Breaking Changes
58
Error Recovery
60
AF Security Reliability

Best When

An energy company, commodity trader, utility, or industrial company with complex commodity trading and risk management operations wanting AI agents to automate trade capture, position management, risk calculation, and physical commodity logistics through Triple Point's enterprise CTRM platform.

Avoid When

CTRM IMPLEMENTATION IS COMPLEX: Triple Point requires significant implementation and configuration; automated instant CTRM access assumption creates implementation_required; automated must complete Triple Point implementation project. COMMODITY DOMAIN EXPERTISE REQUIRED: CTRM data models require deep commodity trading knowledge (deals, positions, risk, P&L); automated non-expert CTRM assumption creates incorrectly structured trading data; automated must involve commodity trading domain experts. MARKET DATA FEEDS ARE SEPARATE: Triple Point requires external market data feeds (ICE, CME) for price curves; automated built-in market data assumption creates missing_price_curve without external data connection; automated must integrate market data vendors separately. REGULATORY REPORTING REQUIRES CONFIGURATION: CFTC, EMIR reporting configurations vary per trading book and jurisdiction; automated universal compliance assumption creates missing_required_fields for jurisdiction-specific commodity reporting.

Use Cases

  • Capturing commodity trades and managing positions for energy trading desk risk automation agents
  • Calculating mark-to-market P&L and VaR for commodity portfolio risk management automation agents
  • Managing physical commodity operations and delivery scheduling for logistics automation agents
  • Automating commodity trade settlement and invoice generation for back-office automation agents

Not For

  • Financial securities trading (Triple Point is commodity/physical trading, not equities or fixed income)
  • Retail energy billing (Triple Point is wholesale trading, not retail energy customer billing)
  • Simple energy procurement (Triple Point targets complex trading operations, not simple procurement)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: oauth2 basic
OAuth: Yes Scopes: No

Triple Point uses OAuth2 + Basic Auth for CTRM REST API. REST API with JSON. Westport, CT HQ (Hitachi subsidiary). Founded 1993 by Michael Schwartz. Acquired by Hitachi 2017. Products: Commodity XL (CTRM), Energy Retail, Trading Analytics. Commodities: energy (power, gas, crude, LNG), metals (base, precious), agriculture, petrochemicals. Competes with Openlink (ION), Brady Technologies, and Opis for CTRM/ETRM. ~500+ global commodity companies.

Pricing

Model: subscription
Free tier: No
Requires CC: No

Westport CT. Hitachi subsidiary. Enterprise CTRM. Annual license. 500+ global commodity companies.

Agent Metadata

Pagination
page
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • DEAL CONFIRMATION WORKFLOW IS STRICT: Triple Point trade capture requires counterparty confirmation workflow; automated direct booking assumption creates unconfirmed_deal status; automated must implement deal confirmation workflow matching trading desk process
  • PRICE CURVES REQUIRE EXTERNAL MARKET DATA: P&L and risk calculations require externally-provided price curves; automated self-pricing assumption creates missing_market_data for mark-to-market calculations; automated must connect and maintain external commodity price feeds
  • POSITION CALCULATION IS COMMODITY-SPECIFIC: Position netting and aggregation rules vary by commodity and product type; automated generic position assumption creates incorrect_position for commodity-specific netting rules; automated must implement commodity-specific position aggregation logic
  • CFTC REPORTABLE POSITIONS HAVE THRESHOLDS: CFTC reporting thresholds for large trader positions apply; automated no-reporting assumption creates CFTC_violation for positions above reporting thresholds; automated must monitor and report positions exceeding CFTC large trader thresholds
  • PHYSICAL DELIVERY REQUIRES SCHEDULING SYSTEM: Physical commodity nominations require integration with pipeline/grid scheduling systems; automated financial-only assumption creates missing_physical_scheduling for physical commodity delivery; automated must integrate with physical scheduling systems

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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