Storj

Delivers S3-compatible decentralized object storage with built-in client-side end-to-end encryption, distributing data across 80+ independent storage nodes via erasure coding.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Other storj s3-compatible decentralized end-to-end-encryption erasure-coding
⚙ Agent Friendliness
59
/ 100
Can an agent use this?
🔒 Security
94
/ 100
Is it safe for agents?
⚡ Reliability
85
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
82
Error Messages
75
Auth Simplicity
78
Rate Limits
80

🔒 Security

TLS Enforcement
100
Auth Strength
95
Scope Granularity
92
Dep. Hygiene
85
Secret Handling
95

End-to-end client-side AES-256-GCM encryption; Storj nodes never see plaintext; macaroon-based access grants support fine-grained path and time restrictions; open-source codebase auditable

⚡ Reliability

Uptime/SLA
88
Version Stability
82
Breaking Changes
82
Error Recovery
88
AF Security Reliability

Best When

Privacy and data sovereignty are critical requirements and your agent pipeline can tolerate S3-compatible interfaces with slightly higher latency than centralized alternatives.

Avoid When

Your workload demands consistent low latency, has many tiny files, or requires advanced S3 features like cross-region replication or Object Lock.

Use Cases

  • Store sensitive agent artifacts (PII outputs, confidential reports) with client-side encryption ensuring the provider never sees plaintext data
  • Use as a privacy-preserving drop-in S3 replacement for agent pipelines that handle regulated or confidential data
  • Archive agent training datasets or model checkpoints with high durability guarantees without vendor lock-in to a single cloud provider
  • Distribute large file workloads across a decentralized network to reduce geographic concentration risk in agent storage infrastructure
  • Implement multi-cloud storage redundancy for agent outputs using Storj's S3-compatible gateway alongside traditional providers

Not For

  • Latency-sensitive workloads where consistent sub-100ms time-to-first-byte is critical — decentralized routing introduces variability
  • Tiny file workloads with thousands of sub-KB objects — erasure coding overhead and per-segment billing make micro-object storage inefficient
  • Teams requiring a fully managed SLA with enterprise support contracts comparable to AWS or GCP storage tiers

Interface

REST API
Yes
GraphQL
No
gRPC
Yes
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: api_key s3_access_key uplink_access_grant
OAuth: No Scopes: Yes

Primary auth via Uplink Access Grants (macaroon-based, can be restricted by path/time/operation); S3-compatible gateway uses derived Access Key ID and Secret; access grants can be shared with limited scope for delegated agent access

Pricing

Model: freemium
Free tier: Yes
Requires CC: No

Significantly cheaper than AWS S3 at scale; egress fees are much lower than AWS; STORJ token payment option available for additional discounts

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • Uplink CLI and S3-compatible gateway are two distinct access paths with different authentication models — mixing them in a pipeline causes confusion
  • Client-side encryption means lost access grants cannot be recovered even by Storj support — agents must manage access grant storage carefully
  • Minimum upload segment size is 64MB for optimal erasure coding; many small files below this threshold are stored less efficiently and billed per segment
  • S3 gateway is a separate service endpoint from the native Uplink API — latency characteristics differ and gateway adds a hop not present in native access
  • Access grant serialization is a long base58 string; agents passing grants through environment variables or config files must handle the full string length without truncation

Alternatives

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Scores are editorial opinions as of 2026-03-06.

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