Research Web Answer API — Cited Answers & Deep Web Search: Modelos de lenguaje grandes con IA

Get a cited answer to a question from the web, or run a deep multi-query web search with reasoning, on MuAPI. Get a cited answer to a question from the web, or run a deep multi-query web search with reasoning.

Interactive model controls

Get a cited answer to a question from the web, or run a deep multi-query web search with reasoning.

📝

Descripción general

Acerca de este modelo

Research Web Answer returns an LLM answer grounded in real web sources, with citations, or runs a deep multi-query reasoning search across the web — useful for account research, competitive intel, and fact-checking with sources.

1Answer a research question with cited web sources
2Run a deep multi-query search for account/competitive research
3Feed a sales or research agent grounded, cited web context
4Fact-check a claim against live web sources
💰

Precios y tarifas

Análisis de costes

muapiappFrom $0.05 per cited answer, $0.10 per deep search (reserved; settled down to actual cost)

Normalized, structured JSON response via muapi's routed GTM data capability.

** Los precios de competidores son estimaciones basadas en arquitecturas de modelos y niveles de uso similares.

⚙️

Especificaciones técnicas

Esquema de configuración

ModoOpciones permitidas (2)

answer: get a cited answer to a question. deep_search: run a deep multi-query web search with reasoning.

Valor por defectoanswer
Questionstring

Question to answer (required for mode=answer), e.g. 'Who is the CEO of Stripe?'.

Valor por defecto-
Querystring

Search query (required for mode=deep_search).

Valor por defecto-
Deep Search ModeOpciones permitidas (3)

Depth/reasoning tier for mode=deep_search.

Valor por defectodeep
Num Resultsinteger

Max results to return for mode=deep_search.

Valor por defecto-
📖

Guía de integración

Documentación para desarrolladores

How to Use Research Web Answer API

  1. Choose a mode: answer for a cited Q&A, deep_search for a multi-query reasoning search.
  2. Provide the input: question for mode=answer, query for mode=deep_search.
  3. Read the result: A cited answer, or a ranked list of deep-search results.
curl -X POST https://api.muapi.ai/api/v1/research-web-answer \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "answer",
    "question": "Who is the CEO of Stripe?"
  }'

Preguntas frecuentes

Preguntas frecuentes

What's the difference between answer and deep_search modes?

`answer` returns a single cited LLM answer to a direct question. `deep_search` runs a deeper, multi-query reasoning search and returns a ranked list of results, better suited to open-ended research.