SurrealDB

Name: SurrealDB — Agent-Ready Pricing Assessment
Brand: SurrealDB

Approaching Agent-Ready

Agent-Ready SaaS Index · surrealdb.com · scored 2026-05-09 · rubric v2.0

Score 69 / 100

Database As A Service Dbaas

Public API

SurrealDB scores 69/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; usage-based / per-token pricing is published; a free entry path exists.

See SurrealDB pricing summary Live pricing page

Pricing

SurrealDB pricing

As of 2026-05-09 · surrealdb.com/pricing

Pay-as-you-go API

Sign up, get an API key, pay per call

Self-serve checkout with public pricing — an autonomous agent can complete the purchase without a sales call.

Signup: email

Instant use

Free tier

Per-model pricing

1 SKU priced per hour

Model / SKU	Input	Output
Compute Pay‑as‑you‑go compute pricing after free tier	$0.021 / hour	—

Score breakdown · rubric v2.0

How SurrealDB scores on the agent-ready dimensions

Public pricing visibility

15 / 15

Self-serve checkout

15 / 15

Public API + docs

0 / 20

Usage-based / metered pricing

20 / 20

Free entry path

7 / 7

No sales call required

7 / 7

Card / wallet / x402 payment

5 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10

Total

69 / 100

Effective pricing

What it actually costs at typical scale

1 vCPU running 24/7 for a month

$15.12/mo

· Compute usage 1 vCPU 24 hours × 30 days (≈720 hrs)· Free tier storage used

Confidence: high

Agent purchase verdict

Can an autonomous agent transact here?

Agent-ready

LLM score: 85/100

Can create account

Yes

Can enter payment method

Yes

Can upgrade plan

Yes

Can buy more usage

Yes

Can cancel online

Yes

Payment methods

card

Human approval recommended

Pricing transparency

full

Purchase motion

self_serve

Demo required

Quote required

Annual commit required

Unknown

Auto-renewal mentioned

Cancellation policy visible

Refund policy visible

Invoice payment available

Purchase orders supported

MSA required

DPA available

Security review required

Trial

Available, no card

Enterprise signals

Trust & compliance

Certifications

SOC2

ISO27001

HIPAA

GDPR

Cyber Essentials Plus

SSO / SAML

Yes

RBAC

Yes

Audit logs

Yes

Data residency

Competitive intel

Positioning & ecosystem

Headline

“The context layer for AI agents”

Buyer persona

developer

enterprise

smb

Agent purchase simulation

Six-step check: can an agent actually buy from SurrealDB?

✓

Discover price

✓

Select a plan

✗

Pay per task

✓

Avoid a sales call

◐

API docs without auth

✗

Estimate cost upfront

Analysis

Pros and cons for AI agents

Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.

✓ For an AI agent

Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.

Every advertised tier is self-serve; no tier requires scheduling a call.

◐ Opportunities for the provider

No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.

API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.

No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.

One-line fix

How SurrealDB could lift its score

Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.

pricing_visible	true
headline_phrasing	Pricing — Spectron: AI agent memory that actually works
tier_count	2
lowest_paid_entry_usd	0
free_tier	false
free_tier_terms	null
per_unit_price	null
annual_required	false
self_serve_paid_tiers	0
sales_only_tiers	1
public_api_docs_url	https://surrealdb.com/docs
api_docs_auth_walled	false
ai_pricing_json_present	false
agents_txt_present	false
anonymous_purchase_path	false
per_unit_classification	null
usage_headline_present	false
custom_tier_present	true
agent_friendly	{"ai_pricing_json":false,"agents_txt":false,"llms_txt":true,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

View raw extracted page text →

Page heading: Pricing · Start building with the context layer

CTAs (40): Skip to content · Sign up to waitlist · Platform · Resources · Why Surreal · Docs · Pricing · 32k · Sign in · Try SurrealDB · SurrealDBOne database for documents, graph, vectors, and SQL · Agent memoryPersistent, queryable, autonomous memory for AI agents

Price tokens (4): $0/monthFree · $0.021 / hr · $0.000/hr · $0.00 /moStandardContact usP

Skip to contentNEWSpectron: AI agent memory that actually worksSign up to waitlist1/3PlatformResourcesWhy SurrealDocsPricing32kSign inTry SurrealDBPlatformCONTEXTSurrealDBOne database for documents, graph, vectors, and SQLMEMORYAgent memoryPersistent, queryable, autonomous memory for AI agentsSTORAGEScalable storageHorizontally scalable, consistent, transactional storageCLIENT LIBRARIESIntegrate with your language of choiceTOOLSSurrealDB CloudThe context-layer which automatically scales with youExtend with custom logicCustom functions and logic inside SurrealDBSurrealistExplore, and manage your data and knowledge-graphs visuallyIntegrationsSync and connect with your tools and servicesResourcesLEARNLabsExamples, libraries and integrationsSidekickSurrealQL AI AssistantUniversityGo from SurrealDB beginner to expertUSE CASESAI AgentsAgent MemoryReal-Time ApplicationsKnowledge GraphsEmbedded and EdgeView all use casesINDUSTRIESFinance and FinTechDefence and aerospaceGaming and entertainmentEnergy and manufacturingHealthcareRetail and e-commerceDISCOVERBlogCase studiesEnterpriseEvents and webinarsWatch and learnAmbassador programmeWhy SurrealWHITEPAPERSThe context layerWhy AI agents need a multi-model foundation, and why the context layer must live in the database.Digital twinsHow unified multi-model databases enable the next generation of intelligent systems.COMPARISONSVector databasesMemory middlewareAgent databasesTraditional databasesData platformsSURREALDB VS.vs. Postgresvs. M…

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Agent-Ready Spec

SurrealDB

Approaching Agent-Ready

69

/ 100 (rubric v2.0)

Discovery files and protocols

Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.

ai-pricing.json

agents.txt

llms.txt

sitemap.xml

MCP Server Card

Agent Skills

x402 / MPP