Verification & Sources

Evidence state: Recheck due
Source links: 3
Freshness: Needs recheck: checked July 16, 2026
Last updated: July 16, 2026

What this evidence state means

Definition: The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance: The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner: Kingy freshness queue owner and assigned editorial reviewer
Freshness rule: This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections: Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

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Amazon Bedrock AgentCore Web Search: What It Does, Pricing, Use Cases, and Alternatives

Last updated: 2026-07-16

TL;DR

AWS made Web Search on Amazon Bedrock AgentCore generally available on June 17, 2026. It lets agents retrieve current web information through a managed AgentCore Gateway connector.

What is Amazon Bedrock AgentCore Web Search?

Web Search is a managed connector target for Amazon Bedrock AgentCore Gateway. An agent submits a natural-language query and receives relevant snippets, source URLs, titles, and publication dates that it can use to ground a response.

AWS says the connector combines its web index with structured knowledge-graph data and keeps the query path within the customer’s AWS environment. Developers interact with it through AgentCore Gateway using MCP-compatible tooling.

What launched?

AWS announced general availability on June 17, 2026. At launch, AWS documented availability in the US East (N. Virginia) Region and advised customers to check its regional capability listings for expansion.

Key capabilities

Add managed web retrieval to an AgentCore Gateway without operating a separate search service.
Return web snippets with source URLs, titles, and publication dates for grounding.
Invoke Web Search from MCP-compatible agents, the AgentCore console, API clients, or supported developer tools.
Keep search queries within an AWS-managed architecture rather than sending them to a separately integrated search provider.

Pricing

Web Search is consumption-based at $7.00 per 1,000 queries, with no minimum fee or upfront commitment. AgentCore Gateway operations and other AWS services used by the workload are billed separately.

AWS account-level credits may apply to eligible new customers, but AWS does not describe a separate permanent free plan for Web Search.

Who should consider it?

It is most relevant to AWS-based agent teams that need current public-web information, source provenance, and a managed retrieval path through AgentCore Gateway.

What remains unproven?

Search relevance, citation quality, latency, and abuse resistance still need workload-specific testing.
Regional availability should be confirmed before architecture decisions are finalized.
Total cost depends on search volume, Gateway operations, and any related AWS services or data transfer.

Official sources

FAQ

What does AgentCore Web Search do?

It gives an agent a managed way to retrieve current web snippets and source metadata through AgentCore Gateway.

How much does it cost?

AWS lists Web Search at $7.00 per 1,000 queries. Gateway calls and other AWS resources are billed separately.

Where is it available?

AWS documented US East (N. Virginia) availability at launch. Customers should check current AWS regional availability before implementation.

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Tool Links

Official site Latest launch profile

Launch History

AI Agents Launch date: June 17, 2026 Added: July 9, 2026 Last verified: July 16, 2026

Amazon Bedrock AgentCore Web Search

AWS announced general availability of Web Search on Amazon Bedrock AgentCore, providing a managed way for agents to retrieve current web information through AgentCore Gateway.

Recheck due Free: Unknown API: Unknown Open: Unknown

Clear use case

Launch readiness: 7.5 / 10
Demo evidence: Not scored yet
Creator-story fit: Not scored yet

Score definitions and rubric

These are launch-record readiness heuristics, not product ratings.

Launch readiness

How complete and reviewable the launch record is, not the quality of the product.

Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.

Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.

Demo evidence

Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.

Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.

Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.

Creator-story fit

Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.

Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.

Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.

Scale: 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by: Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date: Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-16.
Confidence and missing data: Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness: Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes: Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.

AWS made Web Search on Amazon Bedrock AgentCore generally available, a managed way for agents to retrieve current web information through AgentCore Gateway, with…

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