Seam AI Completions API
The Completions API from Seam AI — 1 operation(s) for completions.
The Completions API from Seam AI — 1 operation(s) for completions.
Every API here is available over the APIs.io API and to AI agents over MCP.
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.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.curl "https://apis.io/api/v1/apis/seam-ai-completions-api"
curl "https://apis.io/api/v1/apis?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
openapi: 3.2.0
info:
title: Seam AI Enrichment Completions API
description: API for enriching customer data with Generative AI & traditional third party providers.
version: 0.1.0-beta.1
servers:
- url: https://enricher.getseam.ai
tags:
- name: Completions
paths:
/v1/chat/completions:
post:
tags:
- Completions
summary: Completions Request
description: Text completion endpoint. Returns tokens as they are generated by the model.
operationId: completions_request_v1_chat_completions_post
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionRequest'
examples:
completions:
summary: Completions Request
value:
model: researcher
messages:
- role: user
content: What industry vertical does Seam AI operate in based on their website domain?
stream: false
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/CompletionResponse'
examples:
completions:
value:
id: 24962ed7-5865-489e-b290-3ff8b62ee916
model: researcher
created: 1739564194
citations:
- https://www.getseam.ai/
choices:
- index: 0
finish_reason: stop
message:
role: system
content: Seam AI operates in the Sales and Marketing industry vertical, with a specific focus on Sales Enablement and Go-to-Market (GTM) strategy, as indicated by their website domain, getseam.ai.
object: chat.completion
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- APIKeyHeader: []
components:
schemas:
Role:
type: string
enum:
- assistant
- user
- developer
- system
title: Role
ValidationError:
properties:
loc:
items:
anyOf:
- type: string
- type: integer
type: array
title: Location
msg:
type: string
title: Message
type:
type: string
title: Error Type
type: object
required:
- loc
- msg
- type
title: ValidationError
MessageChunk:
properties:
role:
$ref: '#/components/schemas/Role'
content:
type: string
title: Content
type: object
required:
- role
- content
title: MessageChunk
ChatCompletionDeveloperMessageParam:
properties:
content:
anyOf:
- type: string
- items:
$ref: '#/components/schemas/ChatCompletionContentPartTextParam'
type: array
title: Content
role:
type: string
const: developer
title: Role
name:
type: string
title: Name
type: object
required:
- content
- role
title: ChatCompletionDeveloperMessageParam
ResponseFormatText:
properties:
type:
type: string
const: text
title: Type
type: object
required:
- type
title: ResponseFormatText
HTTPValidationError:
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
type: array
title: Detail
type: object
title: HTTPValidationError
ChatCompletionRequest:
properties:
temperature:
anyOf:
- type: number
maximum: 2.0
minimum: 0.0
- type: 'null'
title: Temperature
description: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both.
default: 1.0
top_p:
anyOf:
- type: number
maximum: 1.0
minimum: 0.0
- type: 'null'
title: Top P
description: 'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
We generally recommend altering this or temperature but not both.'
default: 1.0
stop:
anyOf:
- type: string
- items:
type: string
type: array
- type: 'null'
title: Stop
description: Up to 4 sequences where the API will stop generating further tokens.
max_tokens:
anyOf:
- type: integer
- type: 'null'
title: Max Tokens
description: The maximum number of tokens to generate.
deprecated: true
max_completion_tokens:
anyOf:
- type: integer
- type: 'null'
title: Max Completion Tokens
description: An upper bound for the number of tokens that can be generated for a completion.
presence_penalty:
anyOf:
- type: number
maximum: 2.0
minimum: -2.0
- type: 'null'
title: Presence Penalty
description: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
default: 0.0
frequency_penalty:
anyOf:
- type: number
- type: 'null'
title: Frequency Penalty
description: A number between -2.0 and 2.0 where a positive value decreases the likelihood of repeating tokens that have already been mentioned.
default: 0.0
logit_bias:
anyOf:
- additionalProperties:
type: number
type: object
- type: 'null'
title: Logit Bias
description: 'Modify the likelihood of specified tokens appearing in the completion.
Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.'
logprobs:
anyOf:
- type: boolean
- type: 'null'
title: Logprobs
description: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.
default: false
model:
type: string
const: researcher
title: Model
default: researcher
messages:
items:
anyOf:
- $ref: '#/components/schemas/ChatCompletionUserMessageParam'
- $ref: '#/components/schemas/ChatCompletionSystemMessageParam'
- $ref: '#/components/schemas/ChatCompletionDeveloperMessageParam'
type: array
title: Messages
response_format:
anyOf:
- $ref: '#/components/schemas/ResponseFormatJSONSchema'
- $ref: '#/components/schemas/ResponseFormatText'
- type: 'null'
title: Response Format
description: 'We currently support one type of structured output: JSON Schema. To use this feature, provide a JSON Schema as the `response_format` parameter in this format: `{''type'': ''json_schema'', ''json_schema'': {''schema'': object}}` where object is the valid JSON Schema. Extra keys provided to the object mapped by ''json_schema'' will be ignored.
Excluding this parameter, passing a null value, or passing `{''type'': ''text''}` will return the completion as a string. This is the default behavior.'
stream:
anyOf:
- type: boolean
- type: 'null'
title: Stream
description: 'If true, stream tokens as Server-Sent Events as the model generates them instead of waiting for the full model response. The stream terminates with data: [DONE]. If false, return a single JSON object containing the results.'
default: false
type: object
required:
- messages
title: ChatCompletionRequest
description: Model for /v1/chat/completions request body.
ChatCompletionUserMessageParam:
properties:
content:
anyOf:
- type: string
- items:
$ref: '#/components/schemas/ChatCompletionContentPartTextParam'
type: array
title: Content
role:
type: string
const: user
title: Role
name:
type: string
title: Name
type: object
required:
- content
- role
title: ChatCompletionUserMessageParam
Choices:
properties:
index:
type: integer
title: Index
finish_reason:
type: string
title: Finish Reason
message:
$ref: '#/components/schemas/MessageChunk'
type: object
required:
- index
- finish_reason
- message
title: Choices
ChatCompletionContentPartTextParam:
properties:
text:
type: string
title: Text
type:
type: string
const: text
title: Type
type: object
required:
- text
- type
title: ChatCompletionContentPartTextParam
JSONSchema:
properties:
name:
type: string
title: Name
description:
type: string
title: Description
schema:
type: object
title: Schema
strict:
anyOf:
- type: boolean
- type: 'null'
title: Strict
type: object
required:
- name
title: JSONSchema
ChatCompletionSystemMessageParam:
properties:
content:
anyOf:
- type: string
- items:
$ref: '#/components/schemas/ChatCompletionContentPartTextParam'
type: array
title: Content
role:
type: string
const: system
title: Role
name:
type: string
title: Name
type: object
required:
- content
- role
title: ChatCompletionSystemMessageParam
ResponseFormatJSONSchema:
properties:
json_schema:
$ref: '#/components/schemas/JSONSchema'
type:
type: string
const: json_schema
title: Type
type: object
required:
- json_schema
- type
title: ResponseFormatJSONSchema
CompletionResponse:
properties:
id:
type: string
title: Id
model:
type: string
title: Model
created:
type: integer
title: Created
citations:
items:
type: string
type: array
title: Citations
default: []
choices:
items:
$ref: '#/components/schemas/Choices'
type: array
title: Choices
object:
type: string
title: Object
default: chat.completion
type: object
required:
- id
- model
- created
- choices
title: CompletionResponse
securitySchemes:
APIKeyHeader:
type: apiKey
in: header
name: Authorization