Optilogic Supply Chain Design API

Optilogic Cosmic Frog REST API for cloud-native supply chain network design and optimization. Enables AI agents to manage supply chain network model building and facility location optimization for distribution network planning, handle transportation cost optimization and lane analysis for logistics network design, access scenario analysis and sensitivity testing for supply chain resilience planning, retrieve cost-to-serve and total delivered cost analysis for supply chain economics, manage demand variability and stochastic optimization for robust network design, handle sustainability and carbon footprint analysis for ESG supply chain planning, access supply chain risk assessment and disruption modeling for resilience, retrieve prescriptive analytics and optimization results for supply chain decision support, manage multi-echelon inventory positioning across network for inventory optimization, and integrate Optilogic with ERP, TMS, and data warehouse platforms for supply chain data.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools optilogic supply-chain-design network-optimization cloud-supply-chain cosmic-frog supply-chain-analytics
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
71
/ 100
Is it safe for agents?
⚡ Reliability
59
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
20
Documentation
68
Error Messages
65
Auth Simplicity
68
Rate Limits
58

🔒 Security

TLS Enforcement
90
Auth Strength
68
Scope Granularity
62
Dep. Hygiene
65
Secret Handling
68

Supply chain design. SOC2. API key/OAuth2. US. Network and logistics data.

⚡ Reliability

Uptime/SLA
62
Version Stability
60
Breaking Changes
55
Error Recovery
60
AF Security Reliability

Best When

A manufacturer, retailer, or logistics company wants AI agents to automate supply chain network modeling, facility location optimization, risk scenario analysis, and sustainability planning using Cosmic Frog.

Avoid When

STRATEGIC DECISION GOVERNANCE: Supply chain network design recommendations (opening/closing facilities, changing distribution strategy) have multi-year financial implications; automated optimization outputs must not trigger execution without executive governance and board approval. Model accuracy dependence — supply chain network optimization quality is entirely dependent on input data accuracy (costs, demands, capacities, distances); automated optimization with poor data creates misleading recommendations that drive costly network changes. Early-stage vendor risk — Optilogic was founded in 2019 and is a relatively young company; evaluate API stability, customer support, and long-term viability before mission-critical integration.

Use Cases

  • Designing supply chain networks from strategy agents
  • Optimizing transportation lanes from logistics agents
  • Modeling disruption scenarios from resilience agents
  • Analyzing carbon footprint from sustainability agents

Not For

  • Day-to-day supply chain execution without strategic design
  • Small businesses without supply chain network complexity
  • Real-time operational decisions requiring sub-second response

Interface

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

Authentication

Methods: apikey oauth
OAuth: Yes Scopes: No

Optilogic uses API key and OAuth 2.0. REST API with JSON. Python SDK available. Documentation at docs.optilogic.com. Ann Arbor, Michigan HQ. Founded 2019 by former LLamasoft executives (Don Hicks, team). Private (early-stage startup). Cloud-native supply chain design built on Cosmic Frog platform. Democratizing supply chain optimization with cloud-based tools. Competes with LLamasoft/Coupa and River Logic for network design.

Pricing

Model: subscription
Free tier: Yes
Requires CC: No

Ann Arbor, Michigan. Founded 2019. Early-stage startup by ex-LLamasoft team. Cloud-native supply chain design. Free tier available. Competes with LLamasoft and River Logic.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • STRATEGIC GOVERNANCE: Supply chain network design outputs affecting facility and supplier decisions require executive review before execution; automated optimization must not trigger real-world changes without governance approval
  • Async optimization execution — Cosmic Frog optimization runs are asynchronous; complex models take minutes to hours; implement job status polling, not synchronous calls, for production workflows
  • Early-stage startup API stability — Optilogic founded 2019; API is actively evolving; implement version pinning and change monitoring for production integrations
  • Python SDK dependency — Optilogic Python SDK simplifies model building but introduces SDK version dependency; pin SDK version and test SDK updates before production deployment
  • No webhooks — optimization job completion requires polling; no native push notification for model run results
  • Input data validation — Cosmic Frog optimization is extremely sensitive to data quality; implement data validation (non-negative costs, valid facility capacities, complete demand data) before submitting optimization jobs

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for Optilogic Supply Chain Design API.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

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

5633
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
Community Powered