Quatrix
Quatrix scores 8/100 on xpay's Agent-Ready Index v2: partial pricing visibility.
Quatrix pricing
Sales-led pricing
Pricing is sales‑led with no public dollar amounts; only a free 14‑day trial is advertised. All paid tiers require contacting sales, so prices are null.
How Quatrix scores on the agent-ready dimensions
Public pricing visibility
2 / 15
Self-serve checkout
0 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
4 / 7
No sales call required
2 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
8 / 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
Unknown
Human approval recommended
Pricing transparency
contact_only
Purchase motion
sales_led
Demo required
Unknown
Quote required
Annual commit required
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Security review required
Unknown
Trial
14 days (no card)
Trust & compliance
Certifications
SSO / SAML
RBAC
Unknown
Audit logs
Data residency
Positioning & ecosystem
“Secure your data transfers with Quatrix”
Buyer persona
Six-step check: can an agent actually buy from Quatrix?
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.
- Every advertised tier is self-serve; no tier requires scheduling a call.
- 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.
- PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How Quatrix 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 | Plans and pricing — Read all case studies |
| tier_count | 3 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | true |
| self_serve_paid_tiers | 2 |
| sales_only_tiers | 0 |
| public_api_docs_url | null |
| api_docs_auth_walled | null |
| 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":false,"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 picksQuatrix
8
/ 100 (rubric v2.0)Cloud Content Collaboration
Plans and pricing — Read all case studies
3
No
Sales-led
2 / 0
Auth-walled
No
Not published
2026-05-09
Sales-led pricing
Free 14‑day trial
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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