AskSenti

AskSenti (SentiSum) is an AI-native customer experience (CX) intelligence platform that reads every customer conversation across support, survey, and social channels through its "Kyo" AI engine, identifies what is breaking and why, quantifies the dollar impact, and flags churn before it costs revenue. It ships three agents — an Early Warning Agent for real-time anomaly detection, an Insights Agent for root-cause analysis and dollar-impact quantification, and a Quality Agent for conversation scoring and CSAT prediction — over Unified Signals that consolidate the voice of the customer. Delivered as hosted SaaS with 100+ inbound integrations (Zendesk, Freshdesk, Intercom, Salesforce, and more); it is SOC 2 Type 2 and GDPR compliant. Backed by 500 Global. No public developer API is published today.

AskSenti is profiled on the APIs.io network. Tagged areas include Company, CX Intelligence, Customer Experience, Voice of Customer, and Sentiment Analysis.

AskSenti’s developer surface includes changelog, engineering blog, pricing, signup flow, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.0/100 thin ▬ flat Agent 0/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

CompanyCX IntelligenceCustomer Experience Voice of Customer Sentiment Analysis Customer Service Analytics Artificial Intelligence Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 32.0/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 15.7 / 17

Operational Transparency 2.9 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/asksenti/apis.yml: open an issue on github.com/api-evangelist/asksenti to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Surveys, Market Research and Experience Management	standard	36.6 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

AskSenti API pricing

Prices published by AskSenti, read 2026-10-07 from www.sentisum.com/pricing.

Plan	Price
Core platform — The CX Intelligence Layer	From $100,000/ year Includes: Every conversation read across channels, custom taxonomy, Kyo, Insights and Early Warning agents, un
Quality Agent (add-on)	Priced separately, added when you’re ready.
Automation Agent (add-on)	Priced separately, added when you’re ready.
MCP Server (add-on)	Priced separately, added when you’re ready.
Your own agents	Scoped and priced per agent.
The audit	STEP 01 · FREE · DAYS Includes: Scoped free evaluation on a slice of your conversations

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Asksenti Plans Pricing

6 plans

PLANS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Asksenti Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Asksenti Trust Center

SOC 2

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

DomainSecurity

Compliance

Security

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

PrivacyPolicy

TermsOfService

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: asksenti
name: AskSenti
description: AskSenti (SentiSum) is an AI-native customer experience (CX) intelligence platform that reads every customer
  conversation across support, survey, and social channels through its "Kyo" AI engine, identifies what is breaking and why,
  quantifies the dollar impact, and flags churn before it costs revenue. It ships three agents — an Early Warning Agent for
  real-time anomaly detection, an Insights Agent for root-cause analysis and dollar-impact quantification, and a Quality Agent
  for conversation scoring and CSAT prediction — over Unified Signals that consolidate the voice of the customer. Delivered
  as hosted SaaS with 100+ inbound integrations (Zendesk, Freshdesk, Intercom, Salesforce, and more); it is SOC 2 Type 2 and
  GDPR compliant. Backed by 500 Global. No public developer API is published today.
url: https://raw.githubusercontent.com/api-evangelist/asksenti/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.prod.website-files.com/5ec6a200fe35e26d96b4cb04/68f0d75f98b7319de2d6b373_og-sentisum.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- CX Intelligence
- Customer Experience
- Voice of Customer
- Sentiment Analysis
- Customer Service
- Analytics
- Artificial Intelligence
- Software-as-a-Service
tags_raw:
- Company
- CX Intelligence
- Customer Experience
- Voice of Customer
- Sentiment Analysis
- Customer Support
- Analytics
- Artificial Intelligence
- SaaS
- Customer-Support
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/asksenti-plans-pricing.yml
- type: TrustCenter
  url: security/asksenti-trust-center.yml
- type: DomainSecurity
  url: security/asksenti-domain-security.yml
- type: Compliance
  url: https://trust.sentisum.com/
- type: Conformance
  url: conformance/asksenti-conformance.yml
- type: ChangeLog
  url: changelog/asksenti-changelog.yml
- type: LLMsTxt
  url: llms/asksenti-llms.txt
- type: Security
  url: https://sentisum.com/security
- type: Blog
  url: https://sentisum.com/resources/collections
- type: Pricing
  url: https://sentisum.com/pricing
- type: SignUp
  url: https://sentisum.com/free-trial
- type: Support
  url: https://sentisum.com/about/contact
- type: PrivacyPolicy
  url: https://sentisum.com/about/privacy-policy
- type: TermsOfService
  url: https://sentisum.com/about/privacy-policy
- type: Website
  url: https://sentisum.com
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

AskSenti API — frequently asked questions

How much does the AskSenti API cost?

AskSenti publishes its prices; its Core platform — The CX Intelligence Layer plan is From $100,000/ year as of 2026-10-07. APIs.io lists 6 pricing plans for AskSenti, with each plan's price, limits and inclusions under Pricing on this page.

Is the AskSenti API ready for AI agents?

AskSenti has a Kin Score of 32.0 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

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Tools for providers

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Every operation they expose

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How their score was established

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