Cohere

Generates a text response to a user message and streams it down, token by token.

Cohere publishes 17 API contracts indexed on the APIs.io network, including Chat API, Embed API, Rerank API, and 14 more. Tagged areas include Artificial Intelligence, Natural Language Processing, Embeddings, Vector Search, and LLM.

The Cohere catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 2 Spectral governance rulesets.

Cohere’s developer surface includes pricing, authentication, engineering blog, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

36.4/100 thin ▬ flat Agent 41/100 agent ready Front door AI 6/6 dominant Heartbeat 92/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 1 MCP Servers 16 Features

Artificial Intelligence Natural Language Processing Embeddings Vector Search LLM Canada Foundation Models

What this lets a business do 1

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

AI Model Services

AE-110

/finetuningChatClassifyEmbed JobsGenerateParse

POST /v2/audio/transcriptions POST /v1/finetuning/finetuned-models POST /v2/chat POST /v2/parse

Kin Score

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

Composite quality — 36.4/100 · thin

Contract Quality 12.1 / 19

Developer Ergonomics 3.6 / 15

Access Clarity 5.5 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.2 / 9

Discoverability 4.6 / 8

Regulatory Posture 2.3 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 41/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 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 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 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):

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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
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)
Agent Skills +5 pts — skills artifact present, graded by who authored it
Protected Resource Metadata +5 pts — a served /.well-known/oauth-protected-resource carrying `resource` (documented), and naming its authorization_servers (verified)

4 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 23.8 — up to +15.2 composite points
Access Clarity scores 36.8 — up to +12.6 composite points
Operational Transparency scores 10.5 — up to +11.6 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/cohere/apis.yml: open an issue on github.com/api-evangelist/cohere 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
Retrieval, Vector and RAG	covered	49.4	-	-
Hugging Face Hub Organisations	covered	49.4	-	-

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 3

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.

The OpenAI Interface

prose — states compatibility; nothing published to check it against

2 core of 338 operations graded · api-commons/models

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 17

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

Cohere Chat API

The Cohere Chat API enables developers to integrate large language model text generation capabilities into their applications through a conversational interface. It supports mul...

Cohere Embed API

The Cohere Embed API generates vector embeddings from text and images, enabling semantic search, clustering, and classification use cases. It supports multilingual content and c...

Cohere Rerank API

The Cohere Rerank API takes a query and a list of text documents and returns them ordered by relevance with assigned relevance scores. It is commonly used as a second-stage rank...

Cohere Classify API

The Cohere Classify API performs text classification by assigning labels to input text based on provided examples. It can be used for sentiment analysis, content moderation, top...

Cohere Datasets API

The Cohere Datasets API provides endpoints for uploading, managing, and retrieving datasets used with other Cohere services such as fine-tuning and embed jobs. Developers can cr...

Cohere Models API

The Cohere Models API allows developers to list and retrieve information about available Cohere models, including the Command, Embed, and Rerank model families. It provides deta...

Cohere Tokenize API

The Cohere Tokenize API splits input text into tokens using the tokenizer associated with a specified model. It returns both the token strings and their corresponding token IDs....

Cohere Detokenize API

The Cohere Detokenize API converts a sequence of token IDs back into their corresponding text string using the tokenizer for a specified model. It is the inverse operation of th...

Cohere Batches API

The batches API from Cohere — 3 operation(s) for batches.

Cohere Check Api Key API

The Check Api Key API from Cohere — 1 operation(s) for check api key.

Cohere Connectors API

The connectors API from Cohere — 3 operation(s) for connectors.

Cohere Embed Jobs API

The embedJobs API from Cohere — 3 operation(s) for embedjobs.

Cohere /finetuning API

The /finetuning API from Cohere — 4 operation(s) for /finetuning.

Cohere Generate API

The Generate API from Cohere — 1 operation(s) for generate.

Cohere Parse API

The Parse API from Cohere — 1 operation(s) for parse.

Cohere Summarize API

The Summarize API from Cohere — 1 operation(s) for summarize.

Cohere Transcriptions API

The transcriptions API from Cohere — 1 operation(s) for transcriptions.

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Open Collections 9

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

Cohere Chat API

OPEN COLLECTION

Cohere Chat Classify API

OPEN COLLECTION

Cohere Chat Datasets API

OPEN COLLECTION

Cohere Chat Detokenize API

OPEN COLLECTION

Cohere Chat Embed API

OPEN COLLECTION

Cohere Chat Embed Jobs API

OPEN COLLECTION

Cohere Chat Models API

OPEN COLLECTION

Cohere Chat Rerank API

OPEN COLLECTION

Cohere Chat Tokenize API

OPEN COLLECTION

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MCP Servers 1

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

Cohere MCP Server

Remote MCP server at docs.cohere.com over HTTP.

MCP SERVER

Cohere API pricing

Prices published by Cohere, read 2026-10-07 from cohere.com/pricing.

Plan	Price
North	Get in touch for custom enterprise pricing.
Compass	Get in touch for custom enterprise pricing.
Model Vault — Embed 5 Fast (Small)	$3.00
Model Vault — Embed 5 Fast (Medium)	$5.00
Model Vault — Embed 5 Pro (Small)	$3.00
Model Vault — Embed 5 Pro (Medium)	$5.00
Model Vault — Rerank 4 Fast (Medium)	$5.00
Model Vault — Rerank 4 Pro (Medium)	$5.00

All 24 plans, limits and sources →

Rate limits

Trial key (Chat): 20 requests per minute
Trial key (Embed): 100 requests per minute
Production (Chat): 10000 requests per minute

Compiled by API Evangelist, not yet checked against Cohere's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Cohere Plans Pricing

24 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Cohere Rate Limits

5 limits

RATE LIMITS

Service Levels 1

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

Cohere

SLA

FinOps 1

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

Cohere Finops

FINOPS

Features 16

Notable capabilities this provider offers.

Command at $1/$2 per MTok input/output

Command-light at $0.30/$0.60

Command R at $0.50/$1.50

Command R+ 08-2024 at $2.50/$10

Command R+ 04-2024 at $3/$15

Aya Expanse multilingual at $0.50/$1.50

Embed v3 with English/multilingual

Rerank for relevance scoring

Production keys: 10K req/min Chat, 2K Embed, 10K Rerank

Trial keys: 20/min Chat, 100/min Embed

Connectors for RAG over data sources

Tool use and function calling

Compass for unstructured data search

Available on AWS Bedrock, Azure, Oracle Cloud

Fine-tuning for Command and Aya

OpenAI-compatible Chat Completions endpoint

Scroll for all 16

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Cohere Streaming API

AsyncAPI definition for Cohere's HTTP+SSE streaming endpoints. Cohere's streaming responses are NOT delivered via WebSockets. They are delivered as Server-Sent Events (SSE) over...

ASYNCAPI

Semantic Vocabularies 1

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

Cohere Context

0 classes · 10 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Cohere — asyncapi rules

9 rules · 1 errors 8 warnings

SPECTRAL

Cohere — jsonschema rules

6 rules · 5 warnings 1 info

SPECTRAL

JSON Schema 34

Standalone JSON Schema definitions for this provider's data models.

Cohere Chat Message

5 properties

JSON SCHEMA

ChatRequest

8 properties

JSON SCHEMA

ChatResponse

4 properties

JSON SCHEMA

Classification

7 properties

JSON SCHEMA

ClassifyExample

2 properties

JSON SCHEMA

ClassifyRequest

5 properties

JSON SCHEMA

ClassifyResponse

3 properties

JSON SCHEMA

CreateDatasetRequest

6 properties

JSON SCHEMA

CreateDatasetResponse

1 properties

JSON SCHEMA

CreateEmbedJobRequest

6 properties

JSON SCHEMA

CreateEmbedJobResponse

1 properties

JSON SCHEMA

Cohere Dataset

11 properties

JSON SCHEMA

DatasetUsage

1 properties

JSON SCHEMA

DetokenizeRequest

2 properties

JSON SCHEMA

DetokenizeResponse

2 properties

JSON SCHEMA

Cohere Embedding

4 properties

JSON SCHEMA

EmbedJob

9 properties

JSON SCHEMA

EmbedRequest

6 properties

JSON SCHEMA

EmbedResponse

4 properties

JSON SCHEMA

Error

1 properties

JSON SCHEMA

ListDatasetsResponse

1 properties

JSON SCHEMA

ListEmbedJobsResponse

1 properties

JSON SCHEMA

ListModelsResponse

2 properties

JSON SCHEMA

Message

4 properties

JSON SCHEMA

Cohere Model

6 properties

JSON SCHEMA

RerankRequest

5 properties

JSON SCHEMA

RerankResponse

3 properties

JSON SCHEMA

RerankResult

3 properties

JSON SCHEMA

StreamEvent

2 properties

JSON SCHEMA

TokenizeRequest

2 properties

JSON SCHEMA

TokenizeResponse

3 properties

JSON SCHEMA

Tool

2 properties

JSON SCHEMA

ToolCall

3 properties

JSON SCHEMA

Usage

2 properties

JSON SCHEMA

Scroll for all 34

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Cohere Structure

0 properties

JSON STRUCTURE

Security Posture 2

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

Cohere Authentication

http · 1 scheme

SECURITY

Cohere Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Cohere Agentic Access

18 operations · 11 acting

AGENTIC

Resources

Documentation 4

Reference material describing how the API behaves

JSONSchema

JSONSchema

JSONSchema

JSONSchema

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLD

JSONLD

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 3

Pricing, plans, and the legal terms of use

FinOps

FinOps

Pricing

Pricing

Plans

Plans

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

name: Cohere
aid: cohere
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: true
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  generated: '2026-08-28'
  method: derived
specificationVersion: '0.23'
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/cohere.png
url: https://raw.githubusercontent.com/api-evangelist/cohere/refs/heads/main/apis.yml
apis:
- aid: cohere:chat-api
  name: Cohere Chat API
  tags:
  - Artificial Intelligence
  - Chat
  - Conversational AI
  - LLM
  - Text Generation
  tags_raw:
  - Artificial Intelligence
  - Chat
  - Conversational AI
  - Large Language Models
  - Text Generation
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/chat
  properties:
  - url: https://docs.cohere.com/reference/chat
    type: Documentation
  - url: openapi/cohere-chat-api-openapi.yml
    type: OpenAPI
  - url: asyncapi/cohere-asyncapi.yml
    type: AsyncAPI
  description: The Cohere Chat API enables developers to integrate large language model text generation capabilities into
    their applications through a conversational interface. It supports multi-turn conversations, tool use with JSON schema
    definitions, retrieval-augmented generation, and streaming responses. The API is available via the v2 endpoint and works
    with Cohere's Command family of models.
- aid: cohere:embed-api
  name: Cohere Embed API
  tags:
  - Artificial Intelligence
  - Embeddings
  - Natural Language Processing
  - Semantic Search
  - Vector Search
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/embed
  properties:
  - url: https://docs.cohere.com/reference/embed
    type: Documentation
  - url: openapi/cohere-embed-api-openapi.yml
    type: OpenAPI
  description: The Cohere Embed API generates vector embeddings from text and images, enabling semantic search, clustering,
    and classification use cases. It supports multilingual content and can process both text and image inputs using the Embed
    v3 model family. Developers can use these embeddings to build retrieval systems, recommendation engines, and other applications
    that require understanding semantic similarity between content.
- aid: cohere:rerank-api
  name: Cohere Rerank API
  tags:
  - Artificial Intelligence
  - Information Retrieval
  - Relevance
  - Reranking
  - Search
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/rerank
  properties:
  - url: https://docs.cohere.com/reference/rerank
    type: Documentation
  - url: openapi/cohere-rerank-api-openapi.yml
    type: OpenAPI
  description: The Cohere Rerank API takes a query and a list of text documents and returns them ordered by relevance with
    assigned relevance scores. It is commonly used as a second-stage ranker in retrieval-augmented generation pipelines to
    improve the quality of search results before passing them to a language model. The API supports multilingual reranking
    and can significantly improve the precision of search and retrieval systems.
- aid: cohere:classify-api
  name: Cohere Classify API
  tags:
  - Artificial Intelligence
  - Classification
  - Natural Language Processing
  - Text Analysis
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/classify
  properties:
  - url: https://docs.cohere.com/reference/classify
    type: Documentation
  - url: openapi/cohere-classify-api-openapi.yml
    type: OpenAPI
  description: The Cohere Classify API performs text classification by assigning labels to input text based on provided examples.
    It can be used for sentiment analysis, content moderation, topic categorization, and other classification tasks. Developers
    provide a set of labeled examples along with texts to classify, and the API returns predicted labels with confidence scores
    for each input.
- aid: cohere:datasets-api
  name: Cohere Datasets API
  tags:
  - Artificial Intelligence
  - Data Management
  - Datasets
  - Fine-Tuning
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/list-datasets
  properties:
  - url: https://docs.cohere.com/reference/list-datasets
    type: Documentation
  - url: openapi/cohere-datasets-api-openapi.yml
    type: OpenAPI
  description: The Cohere Datasets API provides endpoints for uploading, managing, and retrieving datasets used with other
    Cohere services such as fine-tuning and embed jobs. Developers can create datasets from files, list existing datasets,
    retrieve dataset metadata, and delete datasets they no longer need. The API supports various data formats and validates
    uploaded data against expected schemas.
- aid: cohere:models-api
  name: Cohere Models API
  tags:
  - Artificial Intelligence
  - Machine Learning
  - Models
  tags_raw:
  - Artificial Intelligence
  - Machine Learning
  - Models
  - Machine-Learning
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/list-models
  properties:
  - url: https://docs.cohere.com/reference/list-models
    type: Documentation
  - url: openapi/cohere-models-api-openapi.yml
    type: OpenAPI
  description: The Cohere Models API allows developers to list and retrieve information about available Cohere models, including
    the Command, Embed, and Rerank model families. It provides details such as model names, versions, supported endpoints,
    context lengths, and capabilities. This API is useful for programmatically discovering which models are available and
    selecting the appropriate model for a given task.
- aid: cohere:tokenize-api
  name: Cohere Tokenize API
  tags:
  - Artificial Intelligence
  - Natural Language Processing
  - Text Processing
  - Tokenization
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/tokenize
  properties:
  - url: https://docs.cohere.com/reference/tokenize
    type: Documentation
  - url: openapi/cohere-tokenize-api-openapi.yml
    type: OpenAPI
  description: The Cohere Tokenize API splits input text into tokens using the tokenizer associated with a specified model.
    It returns both the token strings and their corresponding token IDs. This is useful for understanding how text will be
    processed by Cohere models, estimating token counts for billing purposes, and debugging input formatting issues.
- aid: cohere:detokenize-api
  name: Cohere Detokenize API
  tags:
  - Artificial Intelligence
  - Natural Language Processing
  - Text Processing
  - Tokenization
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  baseURL: https://api.cohere.com
  humanURL: https://docs.cohere.com/reference/detokenize
  properties:
  - url: https://docs.cohere.com/reference/detokenize
    type: Documentation
  - url: openapi/cohere-detokenize-api-openapi.yml
    type: OpenAPI
  description: The Cohere Detokenize API converts a sequence of token IDs back into their corresponding text string using
    the tokenizer for a specified model. It is the inverse operation of the Tokenize API and is useful for inspecting model
    outputs at the token level, debugging tokenization behavior, and reconstructing text from token representations.
- aid: cohere:cohere-batches-api
  name: Cohere Batches API
  description: The batches API from Cohere — 3 operation(s) for batches.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - batches
  properties:
  - type: OpenAPI
    url: openapi/cohere-batches-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-check-api-key-api
  name: Cohere Check Api Key API
  description: The Check Api Key API from Cohere — 1 operation(s) for check api key.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - Check Api Key
  properties:
  - type: OpenAPI
    url: openapi/cohere-check-api-key-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-connectors-api
  name: Cohere Connectors API
  description: The connectors API from Cohere — 3 operation(s) for connectors.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - connectors
  properties:
  - type: OpenAPI
    url: openapi/cohere-connectors-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-embedjobs-api
  name: Cohere Embed Jobs API
  description: The embedJobs API from Cohere — 3 operation(s) for embedjobs.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - embedJobs
  properties:
  - type: OpenAPI
    url: openapi/cohere-embedjobs-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-finetuning-api
  name: Cohere /finetuning API
  description: The /finetuning API from Cohere — 4 operation(s) for /finetuning.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - /finetuning
  properties:
  - type: OpenAPI
    url: openapi/cohere-finetuning-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-generate-api
  name: Cohere Generate API
  description: The Generate API from Cohere — 1 operation(s) for generate.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - Generate
  properties:
  - type: OpenAPI
    url: openapi/cohere-generate-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-parse-api
  name: Cohere Parse API
  description: The Parse API from Cohere — 1 operation(s) for parse.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - Parse
  properties:
  - type: OpenAPI
    url: openapi/cohere-parse-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-summarize-api
  name: Cohere Summarize API
  description: The Summarize API from Cohere — 1 operation(s) for summarize.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - Summarize
  properties:
  - type: OpenAPI
    url: openapi/cohere-summarize-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
- aid: cohere:cohere-transcriptions-api
  name: Cohere Transcriptions API
  description: The transcriptions API from Cohere — 1 operation(s) for transcriptions.
  humanURL: https://docs.cohere.com/reference/chat
  baseURL: https://api.cohere.com
  tags:
  - transcriptions
  properties:
  - type: OpenAPI
    url: openapi/cohere-transcriptions-api-openapi.yml
  - type: Documentation
    url: https://docs.cohere.com/reference/list-embed-jobs
common:
- type: CapabilityMap
  url: capabilities/cohere-capability-edges.yml
  name: Cohere Business Capability Map
- type: RateLimits
  url: rate-limits/cohere-rate-limits.yml
- type: FinOps
  url: finops/cohere-finops.yml
- type: Pricing
  url: https://cohere.com/pricing
- type: Plans
  url: plans/cohere-plans-pricing.yml
- type: Website
  url: https://www.cohere.com/
- type: AgenticAccess
  url: agentic-access/cohere-agentic-access.yml
- type: DomainSecurity
  url: security/cohere-domain-security.yml
- type: Authentication
  url: authentication/cohere-authentication.yml
- url: https://cohere.com/blog
  type: Blog
- type: GitHubOrganization
  url: https://github.com/cohere-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/cohere-ai
- type: JSONLD
  url: json-ld/cohere-context.jsonld
- type: JSONSchema
  url: json-schema/cohere-chat-message-schema.json
- type: JSONSchema
  url: json-schema/cohere-embedding-schema.json
- type: JSONSchema
  url: json-schema/cohere-model-schema.json
- type: JSONSchema
  url: json-schema/cohere-dataset-schema.json
- type: Features
  data:
  - Command at $1/$2 per MTok input/output
  - Command-light at $0.30/$0.60
  - Command R at $0.50/$1.50
  - Command R+ 08-2024 at $2.50/$10
  - Command R+ 04-2024 at $3/$15
  - Aya Expanse multilingual at $0.50/$1.50
  - Embed v3 with English/multilingual
  - Rerank for relevance scoring
  - 'Production keys: 10K req/min Chat, 2K Embed, 10K Rerank'
  - 'Trial keys: 20/min Chat, 100/min Embed'
  - Connectors for RAG over data sources
  - Tool use and function calling
  - Compass for unstructured data search
  - Available on AWS Bedrock, Azure, Oracle Cloud
  - Fine-tuning for Command and Aya
  - OpenAI-compatible Chat Completions endpoint
  sources:
  - https://cohere.com/pricing
  updated: '2026-05-04'
- type: LlmsText
  url: https://docs.cohere.com/llms.txt
modified: '2026-09-16'
description: Generates a text response to a user message and streams it down, token by token.
tags:
- Artificial Intelligence
- Natural Language Processing
- Embeddings
- Vector Search
- LLM
- Canada
- Foundation Models
x-tags-removed:
- Tokenization

Cohere API — frequently asked questions

Does Cohere have an API?

Yes. APIs.io lists 17 APIs from Cohere, including Cohere Chat API, Cohere Embed API and Cohere Rerank API, and 14 more.

Is there an OpenAPI specification for the Cohere API?

Yes. APIs.io indexes 17 OpenAPI specifications for Cohere, each linked for download from this page.

How do I authenticate with the Cohere API?

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

How much does the Cohere API cost?

Cohere publishes its prices; its North plan is Get in touch for custom enterprise pricing. as of 2026-10-07. APIs.io lists 24 pricing plans for Cohere, with each plan's price, limits and inclusions under Pricing on this page.

Does Cohere have an MCP server?

Yes. APIs.io lists 1 MCP server for Cohere: Remote MCP server at docs.cohere.com over HTTP.

Is the Cohere API ready for AI agents?

Cohere has a Kin Score of 36.4 out of 100 (thin) and an Agent Readiness score of 41.4 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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