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dicehub logo

dicehub

Approaching Agent-Ready
Agent-Ready SaaS Index · dicehub.com · scored 2026-05-09 · rubric v2.0
Score 62 / 100
Application Development
Public API

dicehub scores 62/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; usage-based / per-token pricing is published.

See dicehub pricing summaryLive pricing page
Pricing
dicehub pricing
As of 2026-05-09 · dicehub.com/pricing
Per-model pricing
6 SKUs priced per other
Model / SKUInputOutput

dh1_1x14

€0.10 per core‑hour (CPU) / €0.10 per hour (GPU)

—

—

dh1_2x24

€0.20 per core‑hour (CPU) / €0.20 per hour (GPU)

—

—

dh1_4x421

€0.158 per core‑hour (CPU) / €0.63 per hour (GPU)

—

—

dh1_8x842

€0.158 per core‑hour (CPU) / €1.26 per hour (GPU)

—

—

dh1_96xPopular

€0.077 per core‑hour (CPU) / €7.41 per hour (GPU)

—

—

dh1_192xPopular

€0.071 per core‑hour (CPU) / €13.56 per hour (GPU)

—

—

Score breakdown · rubric v2.0
How dicehub 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

0 / 7

No sales call required

7 / 7

Card / wallet / x402 payment

5 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10


Total
62 / 100
Agent purchase verdict
Can an autonomous agent transact here?
Agent-ready
LLM score: 70/100

Can create account

Yes

Can enter payment method

Yes

Can upgrade plan

No

Can buy more usage

Yes

Can cancel online

Yes


Payment methods

card

Human approval recommended

No

Pricing transparency

full

Purchase motion

self_serve

Demo required

No

Quote required

No


Annual commit required

No

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No


Invoice payment available

Unknown

Purchase orders supported

Unknown

MSA required

Unknown

DPA available

Unknown

Security review required

Unknown


Competitive intel
Positioning & ecosystem
Headline

“Pay-as-you-go pricing. Scale your simulations with flexible HPC computing”

Buyer persona

enterprise
developer

Agent purchase simulation
Six-step check: can an agent actually buy from dicehub?
✓

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.
◐ Opportunities for the provider
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • All advertised tiers route to a sales contact form; an agent cannot complete a purchase autonomously.
  • 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 dicehub 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

Pay-as-you-go pricing. Scale your simulations with flexible HPC computing — Estimates based on typical simulation runs. Actual costs depend on mesh complexity and convergence time.

tier_count

1

lowest_paid_entry_usd

null

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://dicehub.com/welcome

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

true

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: Pay-as-you-go pricing. Scale your simulations with flexible HPC computing
CTAs (40): Pricing · Product · Solutions · Pedestrian Wind ComfortAssess urban wind safety with cloud-based CFD simulation · OpenFOAMRun any case in the cloud on thousands of CPUs · Ship HydrodynamicsPredict hull resistance and wave patterns · EU TaxonomyDemonstrate environmental compliance with CFD data · Explore the platformSee all features and capabilities · Blog · Community · Docs · Login
PricingProductSolutionsPedestrian Wind ComfortAssess urban wind safety with cloud-based CFD simulationOpenFOAMRun any case in the cloud on thousands of CPUsShip HydrodynamicsPredict hull resistance and wave patternsEU TaxonomyDemonstrate environmental compliance with CFD dataAutomotive Aerodynamics SoonOptimize drag and downforce for vehicle designHVAC Simulation SoonIndoor airflow and thermal comfort analysisExplore the platformSee all features and capabilitiesPricingBlogCommunityDocsLoginGet startedCloud CFD pricingPay-as-you-go pricing. Scale your simulations with flexible HPC computingWhat does a simulation actually cost?01Pedestrian Wind ComfortMachinedh1_96x96 coresWind directions16Duration~2 hours × 16 directionsEstimated cost€237.1202Automotive AerodynamicsMachinedh1_192x192 coresDuration~4 hours Estimated cost€54.2403UAV / Drone AerodynamicsMachinedh1_36x36 coresDuration~3 hours Estimated cost€16.98Estimates based on typical simulation runs. Actual costs depend on mesh complexity and convergence time.Machine pricingChoose the computing that fits your requirementsCPULustreGPUWildkatzeMachineCPUsRAMStorageEFALustre€/core-hr€/hourdh1_1x14 GB20 GB——€0.100€0.10dh1_2x24 GB40 GB——€0.100€0.20dh1_4x421 GB80 GB——€0.158€0.63dh1_8x842 GB160 GB——€0.158€1.26dh1_18x1896 GB360 GB—€0.157€2.83dh1_36x36192 GB720 GB—€0.157€5.66dh1_96xPopular96384 GB1440 GB—€0.077€7.41dh1_192xPopular192768 GB4800 GB—€0.071€13.56Additional informationMultithreading does not significantly improve solution …
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Agent-Ready Spec
dicehub
Approaching Agent-Ready

62

/ 100 (rubric v2.0)

Category

Application Development

Pricing model

Not advertised

Tier count

1

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 1


Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from dicehub.com/pricing
Pricing model

Per-model / per-SKU pricing

Agent-purchase verdict
Agent-ready
70/100 · v2.1
Canonical answer

Dicehub pricing starts at €0.07 per core‑hour for the smallest machine; no free tier; pay‑as‑you‑go usage billed monthly.

Cheapest entry

Get started (pay‑as‑you‑go)

Actions
Open live pricing page
Verdict reflects Approaching Agent-Ready status under rubric v2.0. Source observed at https://dicehub.com/pricing.
Agent-friendly features2 of 7 present
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

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CompanyAgentically Inc. (d/b/a xpay✦)1875 Mission St, Ste 103San Francisco, CA 94103, United Stateslegal@xpay.sh · privacy@xpay.sh
or ask your AI app
Company
About xpayAgency PartnersGitHubDiscordllms.txt
DevelopersDocumentationAPI ReferenceSDKs & LibrariesQuickstart GuideOpenAPI Spec
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