Developer APIs for engineering spend intelligence.
Bring internal tools, agents, gateways, and product usage events into the OggyCloud attribution graph.
What developers can rely on today
OggyCloud is integration-led today. Use documented ingestion paths for controlled pilots while authentication, versioning, rate limits, and SDK contracts mature.
Dashboard-first integrations
Provider connections are currently configured through the authenticated dashboard. AWS has the strongest real sync path; other providers vary by API coverage.
Read-only credential posture
OggyCloud uses scoped roles and tokens for billing, inventory, and usage visibility. Write access is not required for cost intelligence.
Developer API in early access
Developer API coverage starts with ingestion paths and expands toward exports, SDKs, and stronger contracts.
The API connects spend to ownership
The API is not a generic cost export. It links spend to product work, AI systems, business owners, and optimization actions.
Spend event ingestion
A normalized endpoint for cloud, SaaS, AI, workflow, and agent spend events with idempotency keys and source metadata.
Workflow attribution
SDKs and headers that attach team, service, feature, model, customer, and environment context to usage before it becomes spend.
Managed AI keys
Provider key routing for OpenAI, Anthropic, Gemini, and OpenRouter so teams can attribute requests without copying raw secrets across apps.
Exports and webhooks
Budget alerts, anomaly events, optimization recommendations, and cost allocation data delivered to finance, BI, and engineering systems.
API design principles
These constraints keep the API useful for enterprise engineering and finance teams instead of becoming another loose metrics endpoint.
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