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Quesam logo

Quesam

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

Quesam'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 Quesam pricing summaryLive pricing page
Pricing
Quesam pricing
As of 2026-05-09 · www.quesam.com/
Pricing — verifying
We’re still verifying Quesam’s pricing

The page is a bot‑protection placeholder with no pricing information, plans, or purchase flow visible; therefore pricing fields are left null and the model is marked unverified.

Source of truth: www.quesam.com/

Score breakdown · rubric v1.1
How Quesam 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 simulation
Six-step check: can an agent actually buy from Quesam?
✓

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.
  • Every advertised tier is self-serve; no tier requires scheduling a call.
◐ Opportunities for the provider
  • 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.
  • 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 Quesam 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

Making sure you're not a bot! — You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone.

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.quesam.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":false,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

View raw extracted page text →
Page heading: Making sure you're not a bot!
CTAs (3): Anubis · Techaro · CELPHASE
Making sure you're not a bot! Loading...You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone.Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive.Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate.Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain.Protected by Anubis From Techaro. Made with ❤️ in 🇨🇦.Mascot design by CELPHASE.This website is running Anubis version v1.25.0.
You work at Quesam?
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Talent Assessment stack up.

Evaluating Quesam?
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Are you Quesam? Something off in this listing?
Agent-Ready Spec
Quesam
Not Agent-Ready Yet

15

/ 100 (rubric v1.1)
Category

Talent Assessment

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

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://www.quesam.com/.
Agent-friendly features0 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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