SpendSignal APIv1.1.0 (Beta)

Model Playground

Interactively test our core decision models. Select a model, customize the JSON payload, and generate production-ready code snippets in TypeScript or Python.

New: SpendSignal MCP server

Run SpendSignal from Claude, ChatGPT, Cursor, VS Code and Gemini — with interactive charts in the chat.

Request Builder

Select a model and configure parameters.

Model Endpoint

Request Body (JSON)Default

Response

Click "Run Request" to see results

API Reference

Detailed specification for all public endpoints.

Type-Safe Response

All API responses are strictly typed ensuring predictable integration for your data pipelines.

Stateless Execution

Compute-heavy models like Monte Carlo Simulations run on-demand without storing your data.

Scenario Documentation

Each model endpoint includes detailed methodology notes and logic explanations in the response metadata.

Model Playground

API Reference

POST/api/v1/models/incrementalityMarketing Incrementality

POST/api/v1/models/channel-saturationChannel Saturation

POST/api/v1/models/revenue-qualityRevenue Quality

POST/api/v1/models/cost-elasticityCost Elasticity

POST/api/v1/models/acquisition-retentionAcquisition vs Retention

POST/api/v1/models/discount-addictionDiscount Addiction

POST/api/v1/models/sales-marketing-overlapSales & Marketing Overlap

POST/api/v1/models/time-to-valueTime to Value (Cash Velocity)

POST/api/v1/models/scenario-engineScenario Engine (Monte Carlo)

POST/api/v1/models/vendor-wasteVendor Waste

POST/api/v1/models/growth-resilienceGrowth Resilience

Type-Safe Response

Stateless Execution

Scenario Documentation