AiSensum
AiSensum (AISensum) builds agentic AI "teammates" that work alongside front-line staff to drive revenue, improve quality, and reduce labour while keeping the human in the lead. Operating since 2017 with a presence across Southeast Asia, it deploys purpose-built AI teammates for enterprise front-line operations in retail, F&B, hospitality and entertainment, each specialising in one measurable outcome: Daniel (revenue teammate, personalised counter offers/upsell), Sasha (time and cost teammate, bulk product-photo editing and approval), and Nicole (progress teammate, conversation scoring and cashier coaching against brand SOPs). Deployments are scoped through a half-day IFA (Intelligent Front-line Automation) Workshop. AiSensum publishes no public API, SDK, or developer portal; it is a portfolio company of 500 Global tracked in the API Evangelist network. This profile was enriched from the company's public web presence and an on-site llms.txt.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles AiSensum the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — AiSensum scores 12.3/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile AiSensum
Each block below is one kind of artifact we hold for AiSensum. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for AiSensum — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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