Enterprise scheduling and routing optimization APIs
Stage
Not given
Established
Founded
Not given
Not given
Based in
Not given
BE
Pricing model
Freemium
Contact for pricing
Pricing
Not given
Spark: API access for developers; Flow: Multi-user collaboration with dashboards and score analysis; Horizon: Full intelligence suite with what-if scenarios and Copilot. Solver: Community (open-source, free), Enterprise (contact for pricing). All tiers run on managed cloud; self-hosted available for
Key features
Instant endpoints in under 60 seconds with no configuration required
Live request inspector with full headers, body, status code, and latency
Async delivery with automatic retry up to 6 attempts over about 36 minutes
Request replay to re-fire exact original payload with preserved headers and method
Built-in authentication with Bearer, API Key, Basic Auth, or HMAC
Shareable debug links that expire after 30 days and require no account to view
Three endpoint actions: Static API for mock responses, Sync API for forwarding, Async API for background delivery
Searchable request log retention from 7 to 30 days depending on plan
Field Service Routing API
Employee Shift Scheduling API
Pickup and Delivery Routing API
Task Scheduling API
Custom API from problem description
Explainability and transparent scoring
Real-time replanning
What-if scenarios and simulations
Maps service integration with travel time matrices
Multi-user collaboration and dashboards
What makes it different
Covers both sync and async request flows in one platform with built-in retries and replay
Production-ready in under 2 minutes with no configuration, deployment, or server provisioning
All requests logged by default on every plan including the free tier
Shareable 30-day debug links for incident response without account access
Proven in production at scale handling 100,000s of shifts and 10,000s of jobs
20 years of deep domain expertise in optimization
Handles complex real-world constraints including skills, fairness and labor laws
Transparent and explainable optimization decisions
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