Dashbot
Dashbot is a conversational-data analytics platform (now operating as Dimension Labs) that ingests chatbot, voice-assistant, live-chat, call, survey and other unstructured customer conversations and enriches them into structured "dimensions" for causal intelligence and reporting. Data is sent in through a Universal REST tracker and dozens of one-click integrations (Twilio, Slack, Intercom, Zendesk, Salesforce, Amazon Lex/Connect, Google Dialogflow, Genesys, Cognigy, Kore.ai, Rasa, and more), then explored through dashboards, data explorer, flows and an analytics Agent. A REST Export API (api.dimensionlabs.io) and first-party JavaScript, Python and Ruby SDKs let teams pull enriched data back out programmatically. Dashbot was surfaced as a portfolio company of bessemer-venture-partners; the company rebranded to Dimension Labs while the API and SDKs retain the Dashbot name (api.dashbot.io still responds).
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Dashbot the way a machine reads it — 3 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 — Dashbot scores 38.5/100 (thin), with a separate agent-readiness read of 39/100 (agent aware). 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 Dashbot
Each block below is one kind of artifact we hold for Dashbot. 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 1
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.
Dashbot Export API
The Export API from Dashbot — 1 operation(s) for export.
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.
Resources
Every other property we hold for Dashbot — 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 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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