Dory
Dory scores 29/100 on xpay's Agent-Ready Index v2: partial pricing visibility; checkout requires assistance; a free entry path exists.
Dory pricing
Sales-led pricing
Only a free tier is publicly visible; paid pricing is not disclosed, so pricing model is marked as sales_only with free access noted.
How Dory 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
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Unknown
Payment methods
Unknown
Human approval recommended
Pricing transparency
starting_at
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
Positioning & ecosystem
“Make every meeting interactive with real-time Q&A”
Buyer persona
Six-step check: can an agent actually buy from Dory?
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.
How Dory 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 | Make every meetinginteractive with real-time Q&A — Dory ensures everyone gets heard — with interactive Q&As, live polling, real-time voting and more. |
| 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 | 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} |
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See agent-ready picksDory
29
/ 100 (rubric v2.0)Meeting Management Tools
Not advertised
1
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-09
Sales-led pricing
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 Dory with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.sKreen AI
74
neetoRecord
71
Lucid Meetings
67
Meetpulp
67
Gistify.ai
66
adam.ai
63
Hypercontext
62
Planist
62
Explore the Agent-Ready SaaS Index
25,480+ SaaS scored on agent-buyability — browse by readiness band, category, or jump straight to a pay-per-run tool on xpay.tools.
