Providers and ModelsExa

Exa Answer

Exa Answer
Exa · Research & Search
POST /v1/answer

Quick LLM-style answer to a natural-language question, grounded in fresh Exa web search results with inline citations and source links.

At a glance

FieldValue
Model idexa-answer
Input modalitiesText
Output modalitiesText
Context window-
Weight precision-
Featuresweb_search, answer_engine
Native inferenceNo
NewNo
Supported endpointsPOST /v1/answer, POST /v1/search, POST /v1/chat/completions, POST /v1/responses, POST /v1/messages

Pricing

ChargeSpecRate
Answerper request$0.01

Example request

$curl https://api.empiriolabs.ai/v1/answer \
>  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>  -H 'Content-Type: application/json' \
>  -d '{"model": "exa-answer", "query": "What is RAG?"}'

Parameters

ParameterTypeRequiredDefaultDescription
querystringyes-The natural-language query to search/research/answer.
textbooleannofalseShow short source text snippets in the answer.
disable_formattingbooleannofalseSkip the EmpirioLabs Markdown formatting (citation [N] rewriting + References block). The raw upstream answer with plain [N] citations is returned; the structured citations array still passes through.

Notes

LLM-style answer informed by Exa search results. For deeper analysis use Exa Research.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/exa-answer.