Dyrector.io
Dyrector.io scores 29/100 on xpay's Agent-Ready Index v2: partial pricing visibility; checkout requires assistance; a free entry path exists.
Dyrector.io pricing
Sales-led pricing
The page provides no pricing tables; the product is described as fully open‑source and free, so pricing fields are set to reflect a free tier.
How Dyrector.io scores on the agent-ready dimensions
Public pricing visibility
2 / 15
Self-serve checkout
13 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
7 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
29 / 100
What it actually costs at typical scale
1 user, unlimited usage
$0/mo
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
full
Purchase motion
self_serve
Demo required
Quote required
Annual commit required
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
Positioning & ecosystem
“Compass for containers”
Buyer persona
Six-step check: can an agent actually buy from Dyrector.io?
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.- No clear agent-favorable signals were extracted on this scoring run.
- 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 Dyrector.io 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 | Compass for containers |
| 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 | 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 | false |
| 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 picksDyrector.io
29
/ 100 (rubric v2.0)Container Management
Compass for containers
0
No
Sales-led
0 / 0
Auth-walled
No
Not published
2026-05-09
Sales-led pricing
Dyrector.io is open-source and free to use; no paid plans are listed.
Free plan (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
Compare Dyrector.io with peers
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Explore the Agent-Ready SaaS Index
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