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Pricing Update: Effective April 1, 2026, Cloud hosting prices will increase by 20% and RPC add-on pricing will update to $5 per 1M requests. Learn more about these changes.
SQD Cloud pricing is straightforward: you pay only for the compute and storage resources your squids consume. The SQD Network provides data at no charge, making your costs predictable and transparent.
Good news: Data egress is completely free. No charges for outbound traffic or API responses.

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Pay-as-you-go Pricing

Your total monthly cost is the sum of:
  • Compute costs: Hourly rates for API, processor, and database services
  • Storage costs: Monthly rate per GB of database storage
  • RPC costs: Only if you exceed the 2M free monthly requests

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API and Processor Compute

Both API and processor services use the same pricing structure. They are configured and billed independently.

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Pricing Until March 31, 2026

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Pricing From April 1, 2026

API Replicas: If you run multiple API replicas, each replica is billed separately. For example, 2 replicas of medium API = 2 × $0.08 = $0.16/hr.
Full specifications and resource allocations:

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Database Compute

Dedicated Postgres database instances with guaranteed resources.

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Pricing Until March 31, 2026

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Pricing From April 1, 2026

Database costs include both compute (above) and storage (billed separately at $0.50/GB/month until March 31, 2026, then $0.60/GB/month from April 1, 2026). See the database scaling reference for detailed specifications.

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Database Storage

Storage is billed monthly based on actual usage. Price Until March 31, 2026: $0.50 per GB per month Price From April 1, 2026: $0.60 per GB per month Applies to both dedicated and collocated squids.
Monitor your storage usage in the Cloud dashboard. Optimize your schema and data retention policies to control costs.

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Collocated Squids (Development)

Collocated squids bundle API, processor, and database into a single shared-resource deployment. Compute Until March 31, 2026: $0.02/hr (~$15/month) Compute From April 1, 2026: $0.024/hr (~$17/month) Storage: $0.50/GB/month until March 31, $0.60/GB/month from April 1 (same as dedicated)
Collocated squids share compute resources and performance is not guaranteed. They’re perfect for development and testing but not recommended for production use.

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RPC Requests

Professional organizations include 2 million RPC requests per month at no additional cost. Overage Pricing Until March 31, 2026: $2.00 per million requests Overage Pricing From April 1, 2026: $5.00 per million requests See RPC addon documentation for configuration details.

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Hibernated Squids

Hibernated squids are paused and only incur storage costs. No compute charges apply. Cost Until March 31, 2026: Storage only ($0.50/GB/month) Cost From April 1, 2026: Storage only ($0.60/GB/month)
Hibernation is perfect for squids you want to keep available but don’t need running continuously.

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Multi-Processor Squids

Each processor in a multi-processor squid is billed independently based on its configured profile. Example (Until March 31, 2026): 2 small processors + 1 medium processor = 2 × $0.04 + $0.08 = $0.16/hr Example (From April 1, 2026): 2 small processors + 1 medium processor = 2 × $0.048 + $0.096 = $0.192/hr

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Service Level Agreement (SLA)

Our SLA applies to dedicated squids deployed to Professional organizations. We align with the SLAs of the Google Cloud Platform and provide bill reductions based on uptime:
The SLA covers SQD Cloud infrastructure (API availability, compute provisioning) but does not cover issues caused by client code, bugs in your squid, or upstream problems with SQD Network/RPC providers. You’re responsible for provisioning adequate compute resources for your expected traffic.
Enterprise customers can negotiate custom SLA terms. Contact us to discuss your requirements.

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Real-World Cost Examples

Use these examples to understand how different deployment configurations translate to monthly costs. All examples assume 24/7 operation (720 hours per month).
Note: Examples below use pricing effective April 1, 2026. For current pricing (until March 31, 2026), refer to the pricing tables above.

Small Dedicated Squid

Use case: Personal project or small application with moderate data requirements and low traffic.Configuration:
  • 1× API service (small)
  • 1× Processor (small)
  • 1× Database (small)
  • 50GB storage
Perfect for side projects, MVPs, and applications with predictable low-to-moderate traffic.

Development Squid

Use case: Testing, development, or staging environment where performance guarantees aren’t critical.Configuration:
  • Collocated (API + Processor + DB)
  • 50GB storage
Most cost-effective option for non-production environments and experimentation.

Production Squid

Use case: Production application with high traffic, requiring load balancing and robust data processing.Configuration:
  • 2× API service (medium) - for redundancy
  • 1× Processor (small)
  • 1× Database (large)
  • 500GB storage
Ideal for production applications with significant traffic and data processing needs.

Data Export Pipeline

Use case: Processor-only squid that indexes blockchain data and exports to external storage (S3, BigQuery, etc.). No API or database needed.Configuration:
  • 1× Processor (small)
  • No database or API
  • Minimal storage
Most economical option for data pipelines that don’t need to serve queries.
Cost optimization tips: - Start with smaller profiles and scale up based on actual usage - Use collocated squids for development and testing - Consider hibernating squids that don’t need to run 24/7 - Monitor storage usage and implement data retention policies - Use the cost calculator to model different scenarios