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).

Dashbot publishes 4 API contracts indexed on the APIs.io network, including Export API, Index API, and 2 more. Tagged areas include Company, Artificial Intelligence, Conversational Analytics, Chatbots, and Voice Assistant.

The Dashbot catalog on APIs.io includes 1 Spectral governance ruleset.

Dashbot’s developer surface includes documentation, API reference, getting-started guide, authentication, engineering blog, pricing, signup flow, and 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

55.1/100 strong ▬ flat Agent 35/100 agent ready Front door AI 1/6 silent Heartbeat 62/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

2 published contracts 1 MCP Servers 3 Agent Skills

Company Artificial Intelligence Conversational Analytics Chatbots Voice Assistant Customer Experience Data Enrichment Analytics Contact Center

Kin Score

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

Composite quality — 55.1/100 · strong

Contract Quality 8.8 / 21

Developer Ergonomics 11.2 / 17

Access Clarity 15.7 / 17

Operational Transparency 0.3 / 11

Contract Governance 3.2 / 10

Discoverability 6.4 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 35/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 4 / 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 AI & Biometrics 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 does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

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):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

4 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 41.6 — up to +14.6 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points
Contract Governance scores 31.8 — up to +8.2 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/dashbot/apis.yml: open an issue on github.com/api-evangelist/dashbot 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
Customer Support, Helpdesk and Contact Center	undeclared	-	-	-

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.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

Dashbot Export API

Read API for enriched conversational data. GET /export returns a zipFile handle for all dimension data across a set of bot IDs over a date range, optionally filtered to named pr...

Dashbot Universal Tracker API

Write/ingest API for unstructured customer conversations. POST one message object per call to /track (realtime, timestamp within 24 hours) or /trackhistorical (older data), with...

Dimension Labs Documentation MCP

Model Context Protocol endpoint served from the Dimension Labs documentation host. Answers JSON-RPC 2.0; tools/list is authorization-gated for anonymous clients, so the tool set...

Dashbot Index API

The Index API from Dashbot — 1 operation(s) for index.

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Export API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Dashbot MCP Server

Dimension Labs serves a Model Context Protocol endpoint from its own documentation host, https://docs.dimensionlabs.io/mcp. It is the MCP server that ships with their ReadMe doc...

MCP SERVER

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Discover the Dimension Labs Export API surface

AGENT SKILL

Export Dimension Labs enrichment data

AGENT SKILL

Ingest conversation data into Dimension Labs

AGENT SKILL

Dashbot API pricing

Prices published by Dashbot, read 2026-10-28 from www.dimensionlabs.io/pricing.

Plan	Price
Explore	$299/month Includes: 1,000 records a month, 10K enrichments a month, unlimited agent reports, pre-built Dimensions librar
Discover	$999/month Includes: 5,000 records a month, 50K enrichments a month, Custom Dimensions, 100K context rows
Prove	$2,999/month Includes: 25,000 records a month, Causal Join up to 3 sources, warehouse export, 250K enrichments, 500K contex
Scale	$6,999/month Includes: 100,000 records a month, unlimited data sources, subgroup analysis, 1M enrichments, priority support
Enterprise · Unlimited	From $150,000 a year Includes: Dedicated CSM, custom causal methodology, on-premise deployment, HIPAA, GDPR and CCPA alignment
Paid POC (Enterprise deals over $100K)	$15,000 to $25,000 Includes: Paid POC against signed success criteria

Plan details, limits and sources →

Billed by: records · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Dashbot Plans Pricing

6 plans

PLANS

Dashbot Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Dashbot Rate Limits

0 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Dashbot

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Dashbot Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Dashbot API Rules

33 rules · 31 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Dashbot Export Api Overlay

7 actions · documentation · dashbot-export-api-openapi.yml

DERIVED

Security Posture 2

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

Dashbot Authentication

apiKey · 2 schemes

SECURITY

Dashbot Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

MCPServer

MCPServer

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

DataModel

Lifecycle

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

ToolCrosswalk

ToolCrosswalk

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: dashbot
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/dashbot.png
name: Dashbot
description: 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).
url: https://raw.githubusercontent.com/api-evangelist/dashbot/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bessemer-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
x-docs-platform: readme
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-25
tags:
- Company
- Artificial Intelligence
- Conversational Analytics
- Chatbots
- Voice Assistant
- Customer Experience
- Data Enrichment
- Analytics
- Contact Center
tags_raw:
- Company
- Ai Ml
- Conversational Analytics
- Chatbots
- Voice Assistants
- Customer Experience
- Data Enrichment
- Analytics
- Contact Center
apis:
- aid: dashbot:dashbot-export-api
  name: Dashbot Export API
  description: Read API for enriched conversational data. GET /export returns a zipFile handle for all dimension data across
    a set of bot IDs over a date range, optionally filtered to named prompts; GET /index is the entry point that lists the
    endpoints available to the key. Authenticated with an API key in the Authorization header. 2 operations.
  humanURL: https://docs.dimensionlabs.io/reference/using-the-integration-guides
  baseURL: https://api.dimensionlabs.io
  tags:
  - Export
  properties:
  - type: OpenAPI
    url: openapi/dashbot-export-api-openapi.yml
  - type: Overlay
    url: overlays/dashbot-export-api-overlay.yaml
  - type: Authentication
    url: authentication/dashbot-authentication.yml
  - type: ErrorCatalog
    url: errors/dashbot-problem-types.yml
  - type: DataModel
    url: data-model/dashbot-data-model.yml
  - type: Conventions
    url: conventions/dashbot-conventions.yml
  - type: RateLimits
    url: rate-limits/dashbot-rate-limits.yml
- aid: dashbot:dashbot-universal-tracker-api
  name: Dashbot Universal Tracker API
  description: Write/ingest API for unstructured customer conversations. POST one message object per call to /track (realtime,
    timestamp within 24 hours) or /trackhistorical (older data), with platform, version, direction and the integration source's
    apiKey supplied as query parameters. The message format — text, userId, incoming, conversationId, sessionId and dimensionlabs_timestamp
    plus optional intent/metadata — is documented in prose; Dimension Labs publishes NO machine-readable spec for this surface.
  humanURL: https://docs.dimensionlabs.io/reference/rest-api
  baseURL: https://tracker.dimensionlabs.io
  tags:
  - Ingest
  - Tracking
  properties:
  - type: Documentation
    url: https://docs.dimensionlabs.io/reference/rest-api
  - type: Authentication
    url: authentication/dashbot-authentication.yml
  - type: Conventions
    url: conventions/dashbot-conventions.yml
  - type: DataModel
    url: data-model/dashbot-data-model.yml
  - type: ErrorCatalog
    url: errors/dashbot-problem-types.yml
  - type: RateLimits
    url: rate-limits/dashbot-rate-limits.yml
  x-no-spec: 'No OpenAPI, AsyncAPI, GraphQL SDL or Postman collection is published for the tracker. Probed 2026-08-14: /openapi.json,
    /openapi.yaml, /swagger.json, /api-docs and /docs all 404 on tracker.dimensionlabs.io.'
- aid: dashbot:dashbot-mcp
  name: Dimension Labs Documentation MCP
  description: Model Context Protocol endpoint served from the Dimension Labs documentation host. Answers JSON-RPC 2.0; tools/list
    is authorization-gated for anonymous clients, so the tool set is not publicly enumerable.
  humanURL: https://docs.dimensionlabs.io/docs/dimension-product-guide
  baseURL: https://docs.dimensionlabs.io/mcp
  tags:
  - MCP
  - Documentation
  properties:
  - type: MCPServer
    url: mcp/dashbot-mcp.yml
  - type: ToolCrosswalk
    url: mcp/dashbot-tool-crosswalk.yml
- aid: dashbot:dashbot-index-api
  name: Dashbot Index API
  description: The Index API from Dashbot — 1 operation(s) for index.
  humanURL: https://docs.dimensionlabs.io/reference/using-the-integration-guides
  baseURL: https://api.dimensionlabs.io
  tags:
  - Index
  properties:
  - type: OpenAPI
    url: openapi/dashbot-index-api-openapi.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.dimensionlabs.io/
- type: DeveloperPortal
  url: https://docs.dimensionlabs.io/docs/dimension-product-guide
- type: Documentation
  url: https://docs.dimensionlabs.io/docs/dimension-product-guide
- type: APIReference
  url: https://docs.dimensionlabs.io/reference/using-the-integration-guides
- type: GettingStarted
  url: https://docs.dimensionlabs.io/reference/generating-dashbot-api-key
- type: Authentication
  url: authentication/dashbot-authentication.yml
- type: LLMsTxt
  url: llms/dashbot-llms.txt
- type: Packages
  url: packages/dashbot-packages.yml
- type: SDKs
  url: packages/dashbot-packages.yml
- type: ErrorCatalog
  url: errors/dashbot-problem-types.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/dashbot-domain-security.yml
- type: MCPServer
  url: mcp/dashbot-mcp.yml
- type: ToolCrosswalk
  url: mcp/dashbot-tool-crosswalk.yml
- type: Conventions
  url: conventions/dashbot-conventions.yml
- type: DataModel
  url: data-model/dashbot-data-model.yml
- type: Lifecycle
  url: lifecycle/dashbot-lifecycle.yml
- type: Conformance
  url: conformance/dashbot-conformance.yml
- type: Compliance
  url: https://www.dimensionlabs.io/pricing
- type: Plans
  url: plans/dashbot-plans-pricing.yml
- type: RateLimits
  url: rate-limits/dashbot-rate-limits.yml
- type: Overlay
  url: overlays/dashbot-export-api-overlay.yaml
- type: GitHubOrganization
  url: https://github.com/actionably
- type: Blog
  url: https://www.dimensionlabs.io/blog
- type: Pricing
  url: https://www.dimensionlabs.io/pricing
- type: TermsOfService
  url: https://www.dimensionlabs.io/terms-of-service-policy
- type: PrivacyPolicy
  url: https://www.dimensionlabs.io/privacy-policy-policy
- type: SignUp
  url: https://tally.so/r/pb5Zjb
- type: Login
  url: https://next.dimensionlabs.io/
- type: Support
  url: https://docs.dimensionlabs.io/docs/troubleshoting
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 13
  pass: local-v1

Dashbot API — frequently asked questions

Does Dashbot have an API?

Yes. APIs.io lists 4 APIs from Dashbot, including Dashbot Export API, Dashbot Universal Tracker API and Dimension Labs Documentation MCP, and 1 more.

Is there an OpenAPI specification for the Dashbot API?

Yes. APIs.io indexes 2 OpenAPI specifications for Dashbot, each linked for download from this page.

How do I authenticate with the Dashbot API?

Dashbot uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as Dashbot Authentication.

How much does the Dashbot API cost?

Dashbot publishes its prices; its Explore plan is $299/month as of 2026-10-28. APIs.io lists 6 pricing plans for Dashbot, with each plan's price, limits and inclusions under Pricing on this page.

Does Dashbot have an MCP server?

Yes. APIs.io lists 1 MCP server for Dashbot: Dimension Labs serves a Model Context Protocol endpoint from its own documentation host, https://docs.dimensionlabs.io/mcp. It is the MCP server that ships with their ReadMe documentation hub (the res

Is the Dashbot API ready for AI agents?

Dashbot has a Kin Score of 55.1 out of 100 (strong) and an Agent Readiness score of 35.2 (agent-ready), scored by API Evangelist on 2026-11-06.

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