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  7. Q UP APP

Q UP APP logo

Q UP APP

Not Agent-Ready Yet
Agent-Ready SaaS Index · qupapp.com · scored 2026-05-06 · rubric v1.1
Score 15 / 100
Scheduling
Public API

Q UP APP's pricing page did not render numeric tier data on the scoring date. No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. Public API documentation is reachable without an auth wall.

See Q UP APP pricing summaryLive pricing page
Pricing snapshot
Pricing summary
As of 2026-05-06 · derived from www.qupapp.com/

No tier numbers were visible on the public pricing page. An agent has no machine-readable path to evaluate or transact.

Snapshot rendered from xpay's extracted pricing signals. The full tier list lives on the live page — see source link above.
Score breakdown · rubric v1.1
How Q UP APP scores on the agent-ready dimensions

Public pricing

0 / 15

Usage-based / metered

0 / 25

Self-serve checkout

0 / 15

Public API

15 / 15

Low / no minimum

0 / 10

Unauth automated payment

0 / 10

Bonus (machine-readable pricing)On top of /100 base

0 / 5

Total
15 / 100
Agent purchase verdict
Can an autonomous agent transact here?
Sales-gated
LLM score: 0/100

Can create account

No

Can enter payment method

No

Can upgrade plan

No

Can buy more usage

No

Can cancel online

No

Payment methods

Unknown

Human approval recommended

Yes

Pricing transparency

contact_only

Purchase motion

sales_led

Demo required

Unknown

Quote required

Unknown

Annual commit required

Unknown

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No

Invoice payment available

Unknown

Purchase orders supported

Unknown

MSA required

Unknown

DPA available

Unknown

Security review required

Unknown

Agent purchase simulation
Six-step check: can an agent actually buy from Q UP APP?
✓

Discover price

◐

Select a plan

✗

Pay per task

✗

Avoid a sales call

✗

API docs without auth

✗

Estimate cost upfront

Analysis
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.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
◐ Opportunities for the provider
  • 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.
One-line fix
How Q UP APP 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

Q UP APP | India's fastest growing Doctor Application — Q UP helps doctor to make thier own brand doctor’s app to manage their clinic or hospital. Building your own healthcare app helps to carry out day-to-day activity like patient management, generate e-prescriptions, electronic medical record (EMR app) facility, video and audio online consultation with patient, etc.

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

0

public_api_docs_url

https://www.qupapp.com/docs

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

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 →
CTAs (4): I'm Patient · I'm Doctor · electronic medical record · booking solution with doctor for patient.
I'm Patient I'm Doctor Q UP - India’s best online doctor appointment booking app and doctors best clinic or healthcare app making company Q UP helps doctor to make thier own brand doctor’s app to manage their clinic or hospital. Building your own healthcare app helps to carry out day-to-day activity like patient management, generate e-prescriptions, electronic medical record (EMR app) facility, video and audio online consultation with patient, etc. Q UP not only provides solution for doctor app but also provide a seamless appointment booking solution with doctor for patient. Booking appointment with doctor online was made easy with doctor, Q UP App helps to connect with thousands of doctor all over India from different specialities like diabetologists, gynecologists, orthopedics, pediatricians, general physicians, rheumatologist, dermatologist, Ayurvedic, Homeopathy, Dentist, nephrologist, Urologist, Cardiologist etc. Q UP | India’s top doctor’s emr app India’s top doctor prefer Q UP for building their own brand personalized healthcare (clinic or hospital) app. This doctor app has proven to be the easy management for daily clinic activity. Thousands of doctors or surgeons prefer Q UP for their building their own EMR application. Q UP ranks in Top 10 online doctor consultation app India We are one of the top hospital appointment booking app.
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Agent-Ready Spec
Q UP APP
Not Agent-Ready Yet

15

/ 100 (rubric v1.1)
Category

Scheduling

Pricing model

Not advertised

Tier count

0

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 0

Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published

Last refreshed

2026-05-06

Pricing intelligenceInsights extracted from www.qupapp.com/
Pricing model

Sales-led pricing

Agent-purchase verdict
Sales-gated
0/100 · v2.1
Cheapest entry

Contact sales · sales-led

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://www.qupapp.com/.
Agent-friendly features1 of 7 present
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

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