Observe.AI
Observe.AI is an agentic AI platform for the contact center, providing purpose-built AI agents that handle customer support end-to-end across voice and chat, real-time AI Copilot guidance that assists frontline agents during live interactions, and Conversation Intelligence that evaluates every interaction for quality assurance, compliance, and business insight. Its AI agents connect to CRM, CCaaS, knowledge base, and backend systems to read and write data and trigger workflows, backed by 250+ prebuilt integrations and API/integration toolkits. Observe.AI serves regulated industries including banking and financial services, healthcare, insurance, and travel and hospitality, and maintains SOC 2, ISO 27001, and HIPAA compliance. Its public developer surface is the Reporting APIs at api-docs.observe.ai — an OpenAPI 3.0.1 contract covering asynchronous export of interactions, GenAI summaries, Auto QA and manual evaluations, coachings and ack/dispute state, plus a Data Subject Request deletion API and a scheduled bulk export to Snowflake or S3 described by sixteen JSON Schemas. The company was added to the API Evangelist network as a portfolio company of Scale Venture Partners and the SoftBank Vision Fund.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Observe.AI the way a machine reads it — 29 machine-readable artifacts across 1 API, 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 — Observe.AI scores 53.0/100 (developing), with a separate agent-readiness read of 30/100 (agent ready). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile Observe.AI
Each block below is one kind of artifact we hold for Observe.AI. 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.
APIs 7
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Observe.AI Ack Dispute Flow API
Ack Dispute API can be used to pull all evaluation related data which are sent for acknowledgment or dispute. Please note -
- Allow 24 hrs to pass before pulling Ack Disp...
Observe.AI Authentication API
OAuth 2.0, which stands for “Open Authorization”, is a standard design to allow a website or application to access resources hosted by other web apps on behalf of a user Note...
Observe.AI Coachings API
Coachings API can be used to pull all the Coaching sessions done on Observe AI platform. Please note -
- Allow 24 hrs to pass before pulling Coaching sessions. ie., For C...
Observe.AI DSR API
DSR (Data Subject Request) deletion APIs allow customers to submit metadata-based deletion requests and check the processing status of those requests.
Authentication
OA...Observe.AI Evaluations API
Evaluations API can be used to pull all the Evaluations(Manual and Auto QA) done on Observe AI platform. Please note -
- Allow 24 hrs to pass before pulling Evaluations. ...
Observe.AI Interactions API
Interactions API is an omnichannel API can be used to obtain all the data related to the interactions like Moments, Transcripts and metadata related to Interactions(including Vo...
Observe.AI Summary API
Summarization AI API can be used to pull the data related to summaries for a particular interaction including calls and chats. Please note -
- Summaries can only be extr...
Scroll within the panel for all 7 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Observeai Rate Limits
RATE LIMITSJSON Schema 16
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AGENT_PERFORMANCE_ASSIGNMENT_V1
JSON SCHEMAAUDIT_ASSIGNMENT_V1
JSON SCHEMAAUTOQA_ACK_DISPUTE_V1
JSON SCHEMAAUTOQA_EVALUATION_V1
JSON SCHEMACALIBRATION_ASSIGNMENT_V1
JSON SCHEMACOACHING_V1
JSON SCHEMACONTACT_REASON_V1
JSON SCHEMAEVALUATION_TEMPLATE_V1
JSON SCHEMAINTERACTION_SUMMARY_V1
JSON SCHEMAINTERACTION_V1
JSON SCHEMAMANUAL_ACK_DISPUTE_V1
JSON SCHEMAMANUAL_EVALUATION_V1
JSON SCHEMASENTIMENT_METRIC_V1
JSON SCHEMATEAM_V1
JSON SCHEMAUSER_LOGIN_ACTIVITY_V1
JSON SCHEMAUSER_V1
JSON SCHEMAScroll within the panel for all 16 ·
Security Posture 4
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 Observe.AI — 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.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/observeai · machine-readable index on apis.io
This is an independent, third-party profile of Observe.AI, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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