Nth Round
Nth Round scores 13/100 on xpay's Agent-Ready Index v2: partial pricing visibility.
Nth Round pricing
Growth
$12000/yr
~$1000/mo equivSuccess
$21600/yr
~$1800/mo equivCustom
Contact sales
How Nth Round scores on the agent-ready dimensions
Public pricing visibility
13 / 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
0 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
13 / 100
What it actually costs at typical scale
Growth plan for a single company
$1000/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
starting_at
Purchase motion
sales_led
Demo required
Quote required
Annual commit required
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Minimum commit
$12000
Minimum term
12 months
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Positioning & ecosystem
“Exceptional Software, Accessible Pricing”
Buyer persona
Six-step check: can an agent actually buy from Nth Round?
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.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How Nth Round 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 | Exceptional Software, Accessible Pricing — Nth Round is designed to deliver exceptional value without compromise, offering tailored solutions to meet your unique needs. Enjoy premier solutions and support without the enterprise-level price tag. |
| tier_count | 2 |
| 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 | 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 →
Claim this scorecard & lift your score.
Get the breakdown of every signal we measured, the one-line fix, and how your peers in Equity Management stack up.
Compare the agent-ready picks in Equity Management.
If you're building or running an AI agent that needs to buy from this category, see who's scoring highest right now.
See agent-ready picksNth Round
13
/ 100 (rubric v2.0)Equity Management
Not advertised
2
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-09
Annual-only tier subscription
Nth Round pricing starts at $12,000/year for the Growth plan; a Success plan starts at $21,600/year. Paid plans are billed annually.
Growth plan ($12000) · 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 Nth Round with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.CyndX Owner
56
Capshare
52
Eqvista
49
Cake Equity
49
ActiveSheets.io
49
Qapita
47
Capboard
46
Enty
46
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.
