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Agent-Ready SaaS Index
Loan Origination
Finance Master
Finance Master
Finance Master scores 35/100 on xpay's Agent-Ready Index v2: partial pricing visibility; checkout requires assistance.
Finance Master pricing
Standard
Contact sales
How Finance Master scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
13 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
0 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
35 / 100
Can an autonomous agent transact here?
Can create account
Unknown
Can enter payment method
Unknown
Can upgrade plan
Unknown
Can buy more usage
Unknown
Can cancel online
Unknown
Payment methods
Unknown
Human approval recommended
Pricing transparency
full
Purchase motion
self_serve
Demo required
Quote required
Annual commit required
Unknown
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Positioning & ecosystem
“Finance Master - Finance & NBFC Management Software”
Buyer persona
Six-step check: can an agent actually buy from Finance Master?
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.- No clear agent-favorable signals were extracted on this scoring run.
- 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.
- The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
How Finance Master 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 | Finance Master - Finance & NBFC Management Software — (a) Desktop Application/ Web Application. (b) Mobile Application/ Android Application. |
| tier_count | 0 |
| 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} |
View raw extracted page text →
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See agent-ready picksFinance Master
35
/ 100 (rubric v2.0)Loan Origination
Not advertised
0
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-09
Tier-based subscription
Purchase License
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 Finance Master with peers
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70
Roopya
61
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59
JMB Lending
49
ATLOS
47
LendingWise
42
LoanSifter
42
MBS Highway
42
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.
