Abstract
This proposal defines an institutional tier for the OpenScan.AI API: higher rate limits, guaranteed availability under an SLA, bulk data endpoints, and priority support — targeted at funds, auditors, analytics platforms, and infrastructure providers.
Motivation
The public REST API v2 serves individual developers well, but institutional users need guarantees: sustained throughput for backfills, contractual uptime, and a support channel. An institutional tier is a core milestone of Phase 4 (Enterprise) of the 2026 roadmap and the primary monetization surface for the API.
Specification
- Tiered API keys: the existing free tier remains unchanged; institutional keys unlock higher rate limits and concurrent-request ceilings.
- Bulk endpoints for historical export: paginated address history, token holder snapshots, and block-range extracts.
- A published SLA covering availability and incident response times, with status reporting.
- Usage analytics and quota visibility for institutional customers via a dashboard.
- Optional dedicated indexers for customers whose query patterns would degrade shared infrastructure.
Open questions
- Pricing model: flat subscription vs. metered usage.
- Whether AI decoding endpoints (OEP-1) are metered separately given their higher compute cost.
Milestones
- API key management and tiered rate limiting.
- Bulk export endpoints.
- SLA publication and status page.