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Loris logo

Loris

Not Agent-Ready Yet
Agent-Ready SaaS Index · loris.ai · scored 2026-05-09 · rubric v2.0
Score 9 / 100
Conversation Intelligence
Public API

Loris (Contentsquare) scores 9/100 on xpay's Agent-Ready Index v2: partial pricing visibility; a free entry path exists.

See Loris pricing summaryLive pricing page
Pricing
Loris (Contentsquare) pricing
As of 2026-05-09 · loris.ai/
Sales-led pricing

This is a B2B SaaS product (Conversation Intelligence by Contentsquare) with no public pricing information visible. The page contains only feature descriptions, use cases, and role-based benefits. All conversion paths lead to sales contact ('Contact Us', 'Book a demo'). A 'Start for free' button exists but provides no details on free tier terms or limitations.

Score breakdown · rubric v2.0
How Loris scores on the agent-ready dimensions

Public pricing visibility

2 / 15

Self-serve checkout

0 / 15

Public API + docs

0 / 20

Usage-based / metered pricing

0 / 20

Free entry path

7 / 7

No sales call required

0 / 7

Card / wallet / x402 payment

0 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10

Total
9 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from Loris?
✓

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.
One-line fix
How Loris 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

Turn customer conversations into lower costs and higher loyalty — Discover the AI technology powering Contentsquare

tier_count

1

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

https://contentsquare.com/platform/conversation-intelligence/

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: Turn customer conversations into lower costs and higher loyalty
CTAs (40): Contentsquare launches new AI agent and analytics capabilities across ChatGPT ap · Skip to content · Products · SenseDiscover the AI technology powering Contentsquare · LLM intelligenceLearn more about our analytics for ChatGPT apps and LLM traffic · MCPConnect Contentsquare insights to your AI tools · Experience AnalyticsUnderstand user behavior · Product AnalyticsOptimize user journeys · Conversation IntelligenceKnow why customers reach out · Voice of CustomerTurn feedback into action · Experience MonitoringFind and fix issues fast · Session Replay
Contentsquare launches new AI agent and analytics capabilities across ChatGPT apps, LLM traffic, and conversation intelligence ->Read press releaseSkip to contentProductsAI & AgentsSenseDiscover the AI technology powering ContentsquareLLM intelligenceLearn more about our analytics for ChatGPT apps and LLM trafficMCPConnect Contentsquare insights to your AI toolsExperience AnalyticsUnderstand user behaviorProduct AnalyticsOptimize user journeysConversation IntelligenceKnow why customers reach outVoice of CustomerTurn feedback into actionExperience MonitoringFind and fix issues fastFeaturesSession ReplayHeatmapsJourneysWeb AnalyticsErrors and frustrationUser feedbackPlatformSmart CaptureData ConnectMobile AppsIntegrations & APIsTry interactive demoSolutionsWe’ll help youOptimize journeysImprove conversionBoost A/B testing resultsIncrease lifetime valueFor TeamsDigital MarketingProductDesign & UXeCommerceFor IndustriesBFSIeCommerce & RetailTravel & HospitalityB2BYour Business SizeEnterpriseSmall Teams & StartupsCustomersResourcesResource By TypeBlogGuideseBooks & ReportsPartner StoriesEvents & WebinarsCX CircleYour go-to event for all things customer experience2026 Digital Experience BenchmarksInsights to refine your customer experienceCommunityShare tips and tricks with other Contentsquare usersUsing ContentsquareProduct toursHelp CenterLearning HubPartner EcosystemInteractive ToolsPricingBook a demoBook a demoStart for freeStart for freeTurn customer conversations into lower c…
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Are you Loris? Something off in this listing?
Agent-Ready Spec
Loris
Not Agent-Ready Yet

9

/ 100 (rubric v2.0)
Category

Conversation Intelligence

Pricing model

Turn customer conversations into lower costs and higher loyalty — Discover the AI technology powering Contentsquare

Tier count

1

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 1

Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published

Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from loris.ai/
Pricing model

Sales-led pricing

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v2.0. Source observed at https://loris.ai/.
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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CompanyAgentically Inc. (d/b/a xpay✦)1875 Mission St, Ste 103San Francisco, CA 94103, United Stateslegal@xpay.sh · privacy@xpay.sh
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