Gradient Labs

Gradient Labs builds "Otto", an AI customer support agent that autonomously handles complex, end-to-end support conversations for regulated and financial services businesses. The API lets you start and drive conversations, stream customer messages, hand off to human agents, execute business actions/tools, and manage the knowledge base the agent reasons over, with signed webhooks delivering the agent's outbound messages and events.

Gradient Labs publishes 6 API contracts indexed on the APIs.io network, including Actions & Tools API, Conversations API, Hand-off API, and 3 more. Tagged areas include Artificial Intelligence, Customer Service, AI Agents, Conversations, and Financial Services.

The Gradient Labs catalog on APIs.io includes 1 Spectral governance ruleset.

Gradient Labs’ developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.7/100 thin ▬ flat Agent 21/100 agent aware Front door AI 6/6 dominant Heartbeat 58/100 slowing saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterpriseSelf serve

1 published contract

Artificial Intelligence Customer Service AI Agents Conversations Financial Services Regulated

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Customer Service Management

BC-430

ConversationsHand offKnowledgeMessages

PUT /conversations/{conversationID}/assignee POST /conversations/{conversationID}/messages POST /articles

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 26.7/100 · thin

Contract Quality 9.9 / 19

Developer Ergonomics 2.3 / 15

Access Clarity 0.6 / 15

Operational Transparency 0.9 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 0.8 / 15

Create-or-Update Ergonomics 2.2 / 10

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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

Dry-Run / Simulate Mode 0 / 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 Horizontal (data, software, accessibility, platform) 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

8 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 4.3 — up to +19.1 composite points Ask about this →
Developer Ergonomics scores 15.5 — up to +16.9 composite points Ask about this →
Operational Transparency scores 9.5 — up to +11.8 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/gradient-labs/apis.yml: open an issue on github.com/api-evangelist/gradient-labs 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 →

Standards implemented 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 6

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

Gradient Labs Actions & Tools API

Define and execute business tools the AI agent can call.

Gradient Labs Conversations API

Start, read, and manage the lifecycle of AI-agent conversations.

Gradient Labs Hand-off API

Assign conversations between the AI agent and human participants.

Gradient Labs Knowledge API

Manage knowledge-base articles that ground the AI agent.

Gradient Labs Messages API

Add inbound messages to a conversation.

Gradient Labs Gradient Labs API

The Gradient Labs API API from Gradient Labs — 0 operation(s) for gradient labs api.

Open Collections 6

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

Gradient Labs Actions & Tools API

OPEN COLLECTION

Gradient Labs Actions & Tools Conversations API

OPEN COLLECTION

Gradient Labs Actions & Tools Hand-off API

OPEN COLLECTION

Gradient Labs Actions & Tools Knowledge API

OPEN COLLECTION

Gradient Labs Actions & Tools Messages API

OPEN COLLECTION

Gradient Labs API

OPEN COLLECTION

Gradient Labs API pricing

Not yet checked against Gradient Labs's own pricing page. Compiled by API Evangelist on 2026-07-01 from www.gradient-labs.ai; confirm before you rely on a figure.

Plan	Price
Outcome-Based (Enterprise) enterprise	—

Plan details, limits and sources →

Rate limits

API Requests: see provider documentation requests
Webhook Delivery Ordering: ordered via sequence_number events

Compiled by API Evangelist, not yet checked against Gradient Labs's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Gradient Labs Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Gradient Labs Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

Gradient Labs Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Gradient Labs API Rules

66 rules · 62 error-severity 2 warn-severity 2 info-severity

SPECTRAL

Security Posture 2

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

Gradient Labs Authentication

http · 1 scheme

SECURITY

Gradient Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Gradient Labs Agentic Access

11 operations · 10 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: gradient-labs
url: https://raw.githubusercontent.com/api-evangelist/gradient-labs/refs/heads/main/apis.yml
name: Gradient Labs
kind: company
description: Gradient Labs builds "Otto", an AI customer support agent that autonomously handles complex, end-to-end support
  conversations for regulated and financial services businesses. The API lets you start and drive conversations, stream customer
  messages, hand off to human agents, execute business actions/tools, and manage the knowledge base the agent reasons over,
  with signed webhooks delivering the agent's outbound messages and events.
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: enterprise
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Enterprise · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/gradient-labs.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Artificial Intelligence
- Customer Service
- AI Agents
- Conversations
- Financial Services
- Regulated
tags_raw:
- AI
- Customer Support
- AI Agent
- Conversations
- Financial Services
- Regulated
- Customer-Support
- Financial-Services
created: '2026-07-01'
modified: '2026-07-01'
specificationVersion: '0.23'
apis:
- aid: gradient-labs:gradient-labs-actions-tools-api
  name: Gradient Labs Actions & Tools API
  description: Define and execute business tools the AI agent can call.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Actions & Tools
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-actions-tools-api-openapi.yml
  - type: Documentation
    url: https://api-docs.gradient-labs.ai/
  - type: PostmanCollection
    url: collections/gradient-labs.postman_collection.json
  - type: OpenCollection
    url: collections/gradient-labs.opencollection.json
- aid: gradient-labs:gradient-labs-conversations-api
  name: Gradient Labs Conversations API
  description: Start, read, and manage the lifecycle of AI-agent conversations.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Conversations
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-conversations-api-openapi.yml
  - type: Documentation
    url: https://api-docs.gradient-labs.ai/
  - type: PostmanCollection
    url: collections/gradient-labs.postman_collection.json
  - type: OpenCollection
    url: collections/gradient-labs.opencollection.json
- aid: gradient-labs:gradient-labs-hand-off-api
  name: Gradient Labs Hand-off API
  description: Assign conversations between the AI agent and human participants.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Hand-off
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-hand-off-api-openapi.yml
  - type: Documentation
    url: https://api-docs.gradient-labs.ai/
  - type: PostmanCollection
    url: collections/gradient-labs.postman_collection.json
  - type: OpenCollection
    url: collections/gradient-labs.opencollection.json
- aid: gradient-labs:gradient-labs-knowledge-api
  name: Gradient Labs Knowledge API
  description: Manage knowledge-base articles that ground the AI agent.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Knowledge
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-knowledge-api-openapi.yml
  - type: Documentation
    url: https://api-docs.gradient-labs.ai/
  - type: PostmanCollection
    url: collections/gradient-labs.postman_collection.json
  - type: OpenCollection
    url: collections/gradient-labs.opencollection.json
- aid: gradient-labs:gradient-labs-messages-api
  name: Gradient Labs Messages API
  description: Add inbound messages to a conversation.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Message
  tags_raw:
  - Messages
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-messages-api-openapi.yml
  - type: Documentation
    url: https://api-docs.gradient-labs.ai/
  - type: PostmanCollection
    url: collections/gradient-labs.postman_collection.json
  - type: OpenCollection
    url: collections/gradient-labs.opencollection.json
- aid: gradient-labs:gradient-labs-gradient-labs-api-api
  name: Gradient Labs Gradient Labs API
  description: The Gradient Labs API API from Gradient Labs — 0 operation(s) for gradient labs api.
  humanURL: https://api-docs.gradient-labs.ai/
  baseURL: https://api.gradient-labs.ai
  tags:
  - Gradient Labs API
  properties:
  - type: OpenAPI
    url: openapi/gradient-labs-gradient-labs-api-api-openapi.yml
common:
- type: CapabilityMap
  url: capabilities/gradient-labs-capability-edges.yml
  name: Gradient Labs Business Capability Map
- type: AgenticAccess
  url: agentic-access/gradient-labs-agentic-access.yml
- type: DomainSecurity
  url: security/gradient-labs-domain-security.yml
- type: Authentication
  url: authentication/gradient-labs-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/gradient-labs-ai
- type: Website
  url: https://www.gradient-labs.ai
- type: Documentation
  url: https://api-docs.gradient-labs.ai/
- type: GitHubOrganization
  url: https://github.com/gradientlabs-ai
- type: Plans
  url: plans/gradient-labs-plans-pricing.yml
- type: RateLimits
  url: rate-limits/gradient-labs-rate-limits.yml
- type: FinOps
  url: finops/gradient-labs-finops.yml
- url: https://blog.gradient-labs.ai/feed
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Gradient Labs API — frequently asked questions

Does Gradient Labs have an API?

Yes. APIs.io lists 6 APIs from Gradient Labs, including Gradient Labs Actions & Tools API, Gradient Labs Conversations API and Gradient Labs Hand-off API, and 3 more.

Is there an OpenAPI specification for the Gradient Labs API?

Yes. APIs.io indexes 6 OpenAPI specifications for Gradient Labs, each linked for download from this page.

How do I authenticate with the Gradient Labs API?

Gradient Labs uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Gradient Labs Authentication.

How much does the Gradient Labs API cost?

APIs.io lists 1 pricing plan for Gradient Labs, with each plan's price, limits and inclusions under Pricing on this page.

Is the Gradient Labs API ready for AI agents?

Gradient Labs has a Kin Score of 26.7 out of 100 (thin) and an Agent Readiness score of 21.3 (agent-aware), scored by API Evangelist on 2026-11-13.

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