Agent network control

AI agent proxies with explicit routes, session limits, and observable outcomes

Separate planning from network execution. Assign each authorized task a route policy, isolate state, validate the response, and return evidence the agent can reason about.

01Collectpublic source
02Validatestatus + locale
03Transformstructured record
04DeliverAPI or pipeline

A network contract for every agent task

The agent chooses an allowed task; the execution layer enforces routing and returns structured evidence.

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Plan

Resolve the permitted target, required geography, session mode, timeout, and success criteria.

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Isolate

Create a task-scoped browser or HTTP context without reusing cookies or credentials across unrelated jobs.

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Route

Apply rotating or time-bounded sticky proxy credentials according to the task contract.

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Validate

Classify status, content markers, locale, challenge pages, and target-side denial before accepting data.

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Return evidence

Return structured fields, route metadata, retry reason, and a redacted artifact to the orchestrator.

Authorization, destination policy, concurrency, and retry limits remain authoritative outside the model.

Controls that keep agent browsing reviewable

Capability 1

Task-scoped sessions

Bind cookies, proxy session identifiers, and browser storage to one job so context does not leak between agents.

Capability 2

Deterministic route policy

Choose geography and rotation before execution instead of allowing the model to improvise credentials.

Capability 3

Bounded retry budgets

Retry temporary network failures only; stop on authentication failures, explicit denial, or repeated challenges.

Capability 4

Structured response contracts

Return status, observed locale, extraction result, and evidence fields that downstream agents can validate.

Capability 5

Credential redaction

Keep proxy passwords and application secrets out of prompts, traces, screenshots, and support logs.

Frequently asked questions

Does the AI model receive the proxy password?+

It should not. Store credentials in the execution service and let the model select an approved route profile or task policy rather than raw secrets.

When should an agent use a sticky session?+

Use a short sticky session for a stateful multi-step flow. Use rotation for independent fetches where no cookie or page continuity is required.

How should an agent react to a 403 or challenge page?+

Classify the response, preserve a small redacted artifact, and stop or escalate according to policy. Blindly rotating and retrying can increase cost and risk.

Can this be used for private or authenticated data?+

Only where the user has authorization and the workflow has explicit access, retention, and privacy controls. The default design should target public data.

Add a controlled network layer to your agent workflow

Start with a small task set, fixed route policies, and structured evidence before increasing agent autonomy or concurrency.