PandaDoc
PandaDoc scores 36/100 on xpay's Agent-Ready Index v2: partial pricing visibility; checkout requires assistance; a free entry path exists.
PandaDoc pricing
Free
Free
Starter
$19/user/mo
billed annuallyBusiness
$49/user/mo
billed annuallyEnterprise
Contact sales
How PandaDoc scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
9 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
7 / 7
No sales call required
0 / 7
Card / wallet / x402 payment
5 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
36 / 100
What it actually costs at typical scale
1 seat on Starter plan (annual billing)
$19/mo
5 seats on Business plan (annual billing)
$245/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
Human approval recommended
Pricing transparency
partial
Purchase motion
assisted_checkout
Demo required
Quote required
Annual commit required
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Minimum term
12 months
Invoice payment available
Purchase orders supported
MSA required
DPA available
Security review required
Trial
Available, no card
Annual discount
46% off
Trust & compliance
Certifications
SSO / SAML
RBAC
Unknown
Audit logs
Positioning & ecosystem
“Simple, scalable pricing”
Buyer persona
Six-step check: can an agent actually buy from PandaDoc?
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.
- 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.
- 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 PandaDoc 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 | Simple, scalable pricing — Automate document creation with customizable templates |
| tier_count | 5 |
| lowest_paid_entry_usd | 0 |
| free_tier | true |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | true |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 1 |
| public_api_docs_url | https://www.pandadoc.com/docs/cpq/ |
| api_docs_auth_walled | false |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| per_unit_classification | {"unit_class":"document","confidence":"rejected","agent_task_price_forecastable":"no","rejected_reason":"reject-context word found within ±200 chars (seat/period/credit/etc.)","evidence_text":"$3.50 per document"} |
| 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 picksPandaDoc
36
/ 100 (rubric v2.0)Proposal
Simple, scalable pricing — Automate document creation with customizable templates
5
Yes
Free
0 / 1
Public
No
Not published
2026-05-09
Tier-based subscription
PandaDoc pricing starts at $0/mo for the Free plan; paid plans start at $19/mo for the Starter plan and go up to $49/mo per seat for the Business plan. Billed annually.
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 PandaDoc with peers
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71
Quote Roller
64
Super Proposal
63
Offorte
61
Proposa
61
Nulius
59
SalesRight
59
Quoters
57
Explore the Agent-Ready SaaS Index
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