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Cresta website screenshot

Cresta

Cresta is a Mountain View / Sunnyvale, California contact center AI company spun out of the Stanford AI Lab and founded in 2017 by Zayd Enam, Tim Shi, and Sebastian Thrun. The platform unifies human and AI agents for the enterprise contact center across voice, chat, and SMS, combining real-time agent assist, autonomous voice and digital AI agents, conversation intelligence, a knowledge agent, and automated quality management. Cresta runs a multi-model architecture composed of 20+ large and small language models, fine-tuned on customer-specific transcripts and synthetic data, with enterprise guardrails, supervisory models, and a no-code orchestration surface. The AI Agent supports API-based function calling and Model Context Protocol (MCP) for standardized tool access. Voice integrations span Five9, Genesys (Cloud CX and Engage), NICE CXone, Amazon Connect, Twilio Flex, Talkdesk, 8x8, Vonage, Gladly, TCN, RingCX, Avaya Infinity, Cisco UCCE/PCCE/UCCX, and SIPREC across Oracle, Ribbon, Avaya SBC, and Cisco CUBE via SIP, PSTN transfer, CCaaS native streaming, WebSocket, gRPC, and raw RTP. Cresta is privately held with $270M+ raised across rounds led by Greylock, Andreessen Horowitz, Sequoia, and Tiger Global, with strategic investors including Genesys, Five9, Accenture, Comcast, Qualcomm, JP Morgan, and Workday Ventures. The Cresta API and SDK are private and gated behind a customer / partner engagement; there is no public OpenAPI specification, no public SDK release, and no public developer self-service portal.

human only

More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.

Kin Score

API Evangelist profiles Cresta the way a machine reads it — 41 machine-readable artifacts, 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 — Cresta scores 27.8/100 (emerging), 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 27.8/100 · emerging
Contract Quality 3.8 / 25
Developer Ergonomics 4.8 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 4.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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

How we profile Cresta

Each block below is one kind of artifact we hold for Cresta. 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.

Features 19

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Cresta AI Agent — autonomous voice, chat, and SMS agents resolving end-to-end across 30+ languages
Agent Assist — real-time AI guidance, knowledge surfacing, and next-best-action for live human agents
Conversation Intelligence — automated analysis of 100% of customer conversations for insight and revenue surfacing
Knowledge Agent — proactive real-time answer retrieval from enterprise knowledge bases
Quality Management — automated QA scoring across 100% of contact center conversations
Multi-model architecture combining 20+ large and small language models tuned for contact center tasks
Fine-tuning on customer-proprietary transcripts plus purpose-built synthetic datasets
No-code Discover / Build / Test / Deploy / Optimize lifecycle for AI workflows
Agent Operations Center for real-time monitoring, supervision, and intervention
Enterprise guardrails, supervisory models, and continuous threat detection
API-based function calling and Model Context Protocol (MCP) tool access from AI Agent
Bidirectional metadata exchange (caller ID, IVR selections, routing data, conversation summaries) during transfers and handoffs
Voice transport via SIP trunking, PSTN transfer, CCaaS native streaming, WebSocket, gRPC, and raw RTP
Pull-mode audio retrieval from cloud storage (e.g., AWS KVS) or direct desktop capture
Warm transfer, cold transfer, conference bridge, and multi-party call tracking
Shared conversation memory across channels and human ↔ AI handoffs
Configurable voice persona — tone, empathy, communication style, pacing, pronunciation
SOC 2, ISO 27001, HIPAA, and GDPR compliance posture
Private, gated API and SDK — no public OpenAPI, no public SDK release, no self-service developer signup

Scroll within the panel for all 19 ·

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Cresta Context

20 classes · 9 properties

JSON-LD

Security Posture 3

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.

Cresta Domain Security

TLSv1.3 · DMARC

SECURITY

Cresta Vulnerability Disclosure

Hackerone · security.txt · contact published

SECURITY

Cresta Trust Center

SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR

SECURITY

Integrations 18

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Five9

Voice integration with Five9 Intelligent CX Platform via native streaming.

Genesys Cloud CX

Native real-time voice and digital streaming integration with Genesys Cloud CX.

Genesys Engage

On-premise / hybrid integration with Genesys Engage.

NICE CXone

Real-time voice and digital integration with NICE CXone.

Amazon Connect

Real-time voice integration with Amazon Connect via Kinesis Video Streams.

Twilio Flex

Real-time voice and digital integration with Twilio Flex via Media Streams.

Talkdesk

Voice and digital channel integration with Talkdesk.

8x8

Voice integration with 8x8 contact center.

Vonage

Voice integration with Vonage Contact Center.

Gladly

Digital channel integration with Gladly.

TCN

Voice integration with TCN cloud contact center.

RingCX

Voice integration with RingCentral RingCX.

Avaya Infinity

Voice integration with Avaya Infinity Experience Platform.

Cisco UCCE / PCCE / UCCX

On-premise Cisco contact center integration via desktop capture and SIP.

Avaya (on-prem)

On-premise Avaya integration.

SIPREC

SIPREC recording integration across Oracle, Ribbon, Avaya SBC, and Cisco CUBE.

Salesforce

CRM integration for customer context and screen pop.

Model Context Protocol (MCP)

Standardized tool access for AI Agent function calling.

Scroll within the panel for all 18 ·

Resources

Every other property we hold for Cresta — 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 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Build 1

SDKs, sample code, and the tooling you integrate with

Learn 2

Tutorials, courses, talks, and written guidance

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 7

The organization behind the API

Scroll within the panel for all 7 ·

Other 7

Properties that don't map to a standard resource type

Scroll within the panel for all 7 ·

← All providers · Data indexed from github.com/api-evangelist/cresta · machine-readable index on apis.io