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[ARTICLE · art-94099] src=telnyx.com ↗ pub= topic=ai-products verified=true sentiment=· neutral

Web Search API Now Available for Telnyx AI Agents

Telnyx launched a Web Search API for its AI agents, enabling web search, content retrieval, and cited research through a single API authenticated with existing Telnyx API keys. Priced at $5 per 1,000 calls for each operation, the service is billed through existing Telnyx accounts and supports background mode for long-running tasks.

read1 min views1 publishedAug 12, 2026
Web Search API Now Available for Telnyx AI Agents
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Web Search API is now available. AI agents and internal services can now perform web search, retrieve page content, and run cited research through a single Telnyx-owned API, authenticated with their existing Telnyx API key. No separate search provider account, no second API key to manage. $5 per 1,000 calls, billed through your existing Telnyx account.

POST /v1/web_search

):POST /v1/contents

):POST /v1/research

):lite

, standard

, deep

. Supports background mode for long-running tasks with async polling via GET /v1/research/:task_id

.Bearer

token you already use for Voice, Messaging, and Inference. No new credential to provision or rotate.| Operation | Cost | |---|---| | Web search | $5 / 1,000 calls | | Content retrieval | $5 / 1,000 calls | | Deep research | $5 / 1,000 calls | | Billed through | Existing Telnyx account |

/v1/research

mid-conversation and return a cited answer without leaving the Telnyx platform./v1/contents

for competitive intelligence, pricing monitoring, or content audits without scraping infrastructure of their own.Authorization: Bearer <your-key>

:

curl -X POST https://web-search.telnyx.com/v1/web_search   -H "Authorization: Bearer $TELNYX_API_KEY"   -H "Content-Type: application/json"   -d '{"query":"latest voice AI frameworks","count":5,"freshness":"week"}'
curl -X POST https://web-search.telnyx.com/v1/research   -H "Authorization: Bearer $TELNYX_API_KEY"   -H "Content-Type: application/json"   -d '{"query":"Compare RAG vs fine-tuning for domain-specific QA","research_effort":"deep","max_sources":10}'

"background": true

and poll GET /v1/research/:task_id

until status

is completed

.Learn more in the Web Search docs or on the product page.

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