Pro-Posal
Pro-Posal scores 46/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available.
Pro-Posal pricing
Monthly
$30/mo
flatAnnual
$299/yr
~$25/mo equivHow Pro-Posal scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
15 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
4 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
5 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
46 / 100
What it actually costs at typical scale
1 user on Monthly plan
$30/mo
Annual plan (12 months)
$24.92/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
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
15 days (no card)
Annual discount
20% off
Positioning & ecosystem
“The BEST On-Site Estimating Tool”
Buyer persona
Six-step check: can an agent actually buy from Pro-Posal?
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.
- PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How Pro-Posal 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 | About Pro-Posal — Start Your FREE Trial |
| tier_count | 3 |
| lowest_paid_entry_usd | 30 |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 2 |
| 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 | 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 picksPro-Posal
46
/ 100 (rubric v2.0)Proposal
About Pro-Posal — Start Your FREE Trial
3
No
$30/mo
2 / 0
Auth-walled
No
Not published
2026-05-09
Tier-based subscription
Pro-Posal pricing starts at $30/mo for the Monthly plan; free trial available; paid plans up to $299/yr. Billed monthly or annually.
Free trial
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 Pro-Posal with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Qwilr
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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