Vauchar
Vauchar scores 59/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; usage-based / per-token pricing is published.
Vauchar pricing
Starter
$35/mo
flatExpert
$100/mo
flatProfessional
$180/mo
flatHow Vauchar 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
17 / 20
Free entry path
0 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
5 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
59 / 100
What it actually costs at typical scale
1 account, Starter plan
$35/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
Available
Positioning & ecosystem
“SCALE AS YOUR GROW”
Buyer persona
Six-step check: can an agent actually buy from Vauchar?
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.
- 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.
- The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
How Vauchar 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 | Pricing | Vauchar — The limits specified for each plan is lifetime limits on the account and not calculated on the monthly basis. |
| 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 | 1 |
| sales_only_tiers | 0 |
| public_api_docs_url | https://vauchar.gitbook.io/vauchar |
| api_docs_auth_walled | false |
| 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":false,"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 Loyalty Management stack up.
Compare the agent-ready picks in Loyalty 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 picksVauchar
59
/ 100 (rubric v2.0)Loyalty Management
Not advertised
0
Yes
Sales-led
1 / 0
Public
No
Not published
2026-05-09
Tier-based subscription
Vauchar pricing starts at $35/mo for the Starter plan; paid plans up to $180/mo. Billed monthly.
Starter plan ($35)
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 Vauchar with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.stack.promo
71
Gameball
70
Giftbit
69
Thirdshelf
64
LoyaltySurf
64
Okapi
63
Popdeem
62
Cheerfy Loyalty
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.
