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Balto

Balto is a contact center AI platform that pairs live human agents with real-time AI to improve conversation quality, compliance, efficiency, and revenue. Its unified system delivers real-time agent guidance (Agent Assist), automated quality assurance that auto-scores 100% of interactions, real-time compliance monitoring and risk alerting, AI coaching, call summarization (Real-Time Notetaker), omnichannel voice and digital support, and a Voice AI Agent (Togo) for high-volume repeatable calls. Balto integrates with 50+ contact center (CCaaS) platforms including Five9, Genesys, Amazon Connect, NICE inContact, RingCentral, and Convoso, and exposes a Call Data API for exporting historical call records into external systems and data warehouses. Founded in St. Louis, Balto is backed by Sierra Ventures. This profile was enriched from Balto's public web surface; the developer documentation at docs.balto.ai sits behind an authenticated login, so no public OpenAPI was available to harvest.

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 Balto the way a machine reads it — 2 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 — Balto scores 23.6/100 (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 — 23.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 4.8 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.1 / 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

How we profile Balto

Each block below is one kind of artifact we hold for Balto. 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 2

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.

Balto Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Balto Trust Center

SOC 2, HIPAA, PCI DSS

SECURITY

Resources

Every other property we hold for Balto — 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 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Access & Security 3

Authentication, authorization, and security posture

Operate 2

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

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