The Responses API returns grounded, cited answers from the live web in a single synchronous call, and is OpenAI Responses-compatible so it can be dropped into existing clients. Pricing and latency are selected with `reasoning.effort` (low, medium, high), making it the latency-sensitive counterpart to the asynchronous Task API — suitable for research subagents and in-product answers.
Parallel Responses API is one of 8 APIs that Parallel publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include Responses API. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, a getting-started guide, and authentication docs.
This API exposes
1 operation
across 1 path,
and defines 43 schemas.
It is described by OpenAPI 3.1.0, at version 0.1.2.
Requests are made against a single base URL, https://api.parallel.ai.
1 operations1 paths43 schemas1 POST
Metadata
The identity and technical contract details declared by the specification.
Parallel Responses API declares
1 security scheme
for authenticating requests.
An API key is passed in the header as x-api-key (ApiKeyAuth).
By default, every request must be authenticated.
Paths & Operations 1
Across 1 path, the API surfaces 1 operation — 1 POST. Each is listed below with its method, path, parameters, and response codes.
Responses API 1
An OpenAI-Responses-compatible interface for answers grounded in live web research, with URL citations. Point any Responses-API client — the OpenAI Python SDK, OpenAI TypeScript S…
POST
/v1/responses
Create Response
create_response_v1_responses_postbody→ 200422
Schemas 43
The contract defines 43 schemas that model the data the API accepts and returns. The most detailed are Response (33 properties), ResponseCreateRequest (9 properties), ResponseOutputTextAnnotationAddedEvent (7 properties), ResponseTextDoneEvent (7 properties). Each schema is shown below with its type and property counts.
AnnotationURLCitation
object
A citation for a web resource used to generate a model response.
5 properties5 required
HTTPValidationError
object
1 property
IncompleteDetails
object
Details about why the response is incomplete.
1 property
InputTokensDetails
object
A detailed breakdown of the input tokens.
1 property1 required
Moderation
object
Moderation results for the response input and output, if moderated completions were requested.
2 properties2 required
ModerationInputError
object
An error produced while attempting moderation for the response input or output.
3 properties3 required
ModerationInputModerationResult
object
A moderation result produced for the response input or output.
6 properties6 required
ModerationOutputError
object
An error produced while attempting moderation for the response input or output.
3 properties3 required
ModerationOutputModerationResult
object
A moderation result produced for the response input or output.
6 properties6 required
OutputTokensDetails
object
A detailed breakdown of the output tokens.
1 property1 required
Response
object
A response from the parallel model. A completed response contains a single assistant message whose text is annotated with URL citations grounding the answer.
33 properties5 required
ResponseCompletedEvent
object
3 properties3 required
ResponseContentPartAddedEvent
object
6 properties6 required
ResponseContentPartDoneEvent
object
6 properties6 required
ResponseCreateRequest
object
Request body for the Responses API (POST /v1/responses). OpenAI-Responses-compatible: point a standard OpenAI client at https://api.parallel.ai/v1 with your Pa…
9 properties2 required
ResponseCreatedEvent
object
3 properties3 required
ResponseError
object
Details of a failed response.
2 properties2 required
ResponseFailedEvent
object
3 properties3 required
ResponseFormatJSONObject
object
JSON object response format. An older method of generating JSON responses. Using jsonschema is recommended for models that support it. Note that the model will…
1 property1 required
ResponseFormatText
object
Default response format. Used to generate text responses.
1 property1 required
ResponseFormatTextJSONSchemaConfig
object
JSON Schema output format: the response's output text conforms to schema.
5 properties3 required
ResponseInProgressEvent
object
3 properties3 required
ResponseIncompleteEvent
object
3 properties3 required
ResponseInputContentPart
object
A single content part of a message, e.g. {"text": "hi", "type": "inputtext"}. Only text parts are supported; requests containing image, audio, or file parts fa…
2 properties
ResponseInputMessage
object
A single input message for the Responses API. content accepts either a bare string ("hi") or the canonical OpenAI list-of-parts ([{"text": "hi", "type": "input…
2 properties2 required
ResponseOutputItemAddedEvent
object
4 properties4 required
ResponseOutputItemDoneEvent
object
4 properties4 required
ResponseOutputMessage
object
An assistant message produced by the model.
6 properties5 required
ResponseOutputText
object
A text content part of an output message. annotations carries the URL citations grounding the answer.
An event in the Responses API SSE stream; type identifies the event.
ResponseTextConfig
object
Text output configuration. By default the response is plain text; for structured output set format to {"type": "jsonschema", "name": ..., "schema": {...}}. The…
2 properties
ResponseTextDeltaEvent
object
Emitted when there is an additional text delta.
7 properties7 required
ResponseTextDoneEvent
object
Emitted when text content is finalized.
7 properties7 required
ResponseUsage
object
Estimated token usage, populated for OpenAI SDK compatibility. Counts are approximate; Parallel bills per request, not per token.
A logprob is the logarithmic probability that the model assigns to producing a particular token at a given position in the sequence. Less-negative (higher) log…
A logprob is the logarithmic probability that the model assigns to producing a particular token at a given position in the sequence. Less-negative (higher) log…
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