ODIO
ODIO scores 4/100 on xpay's Agent-Ready Index v2: partial pricing visibility.
ODIO — 3 products
Sales-led pricing
Pricing page only offers custom quotes via ‘Request a Quote’ with no public price figures, so the model is classified as sales_only. No free tier or self‑serve checkout is visible.
How ODIO 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
0 / 7
No sales call required
2 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
4 / 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
Unknown
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Purchase orders supported
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Trust & compliance
Certifications
SSO / SAML
Unknown
RBAC
Unknown
Audit logs
Unknown
Data residency
Positioning & ecosystem
“Tailored Pricing for Every Team’s Success.”
Buyer persona
Six-step check: can an agent actually buy from ODIO?
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.
- A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
- 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 ODIO 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 | Tailored Pricing for Every Team’s Success. — 100% AI Conversation Intelligence |
| tier_count | 0 |
| lowest_paid_entry_usd | null |
| free_tier | true |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 1 |
| 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":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 picksODIO
4
/ 100 (rubric v2.0)Conversation Intelligence
Tailored Pricing for Every Team’s Success. — 100% AI Conversation Intelligence
0
Yes
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-09
Sales-led pricing
Request a Quote · sales-led
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 ODIO with peers
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85
NLX
76
Marsview
72
Inferable.ai
69
Robylon AI
69
Chikka
69
Callin.io
66
Hoory AI
66
Explore the Agent-Ready SaaS Index
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