G-Core Labs
G-Core Labs scores 78/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; a public API exists with documentation; usage-based / per-token pricing is published.
G-Core Labs pricing
Sign up, get an API key, pay per call
Some plans are self-serve, others route to sales — agents can transact on the lower tiers.
3 SKUs priced per hour
| Model / SKU | Input | Output |
|---|---|---|
L40S On‑demand price €1.08 per GPU hour (shown in euros) | — | — |
A100 On‑demand price €1.26 per GPU hour (shown in euros) | — | — |
H100 On‑demand price €1.53 per GPU hour (shown in euros) | — | — |
How G-Core Labs scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
15 / 15
Public API + docs
12 / 20
Usage-based / metered pricing
20 / 20
Free entry path
4 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
5 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
78 / 100
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Payment methods
Human approval recommended
Pricing transparency
partial
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
API & developer surface
API-first product
Unknown
Public API docs
Sandbox present
Unknown
Webhooks
Unknown
MCP mentioned
Positioning & ecosystem
Buyer persona
Six-step check: can an agent actually buy from G-Core Labs?
Discover price
Select a plan
Pay per task
Avoid a sales call
API docs without auth
Estimate cost upfront
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.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- 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.
- The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
How G-Core Labs 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 | false |
| headline_phrasing | Choose the right plan for you — Boost AI/ML training with servers powered by NVIDIA |
| tier_count | 0 |
| 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://gcore.com/docs/home |
| 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 →
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See agent-ready picksG-Core Labs
78
/ 100 (rubric v2.0)Content Delivery Network CDN
Choose the right plan for you — Boost AI/ML training with servers powered by NVIDIA
0
No
Sales-led
0 / 1
Public
No
Not published
2026-05-09
Pay-as-you-go API
Sign up for free
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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