AI-Agents Proxy

GSocks powers real-time web access for agentic applications and autonomous workers that must read pages, submit forms within permitted flows, follow citations, and stream results back to users. Unlike generic rotating lists, our platform is engineered for agent workloads: stable latency under concurrency, predictable session behavior for long-running tasks, and clear governance so your compliance team is as comfortable as your developers. City/region egress mirrors end-user geography for truthful rendering; sticky affinity keeps cookies and auth-less preferences intact while your agents crawl, summarize, and verify. Projects are isolated with their own keys, allow-lists, pacing ceilings, and cost guards so research bots never starve sales copilots or ops automations. Telemetry is agent-native—first-token latency, stream continuity, step completion rate, and effective cost per 1,000 successful actions—so you can tune orchestration policies with confidence. GSocks does not ship evasion techniques or credential harvesting; we enable lawful, polite access patterns that keep platforms, partners, and security stakeholders on-side while your agents deliver value in real time.

Agents thrive when the network behaves like a reliable teammate. GSocks curates diversified ASNs across priority metros and pins sessions to healthy POPs so Playwright, Puppeteer, Selenium, and native HTTP clients observe consistent routes and time zones. Rotation is intentional instead of noisy—fewer renegotiations, cleaner waterfalls, and more stable experiment buckets for A/B-aware sites. Workloads shard by intent: browsing/reading, form-submission in permitted contexts, citation validation, and data quality spot-checks each run with dedicated windows, concurrency caps, and retry budgets. Our mesh preserves Accept-Language, UA hints, and viewport profiles per job for apples-to-apples runs, and supports both ephemeral and long-lived identities depending on task length. Observability goes beyond codes: we surface navigation timing, DOM-settled checkpoints, redirect churn, and “politeness budget” usage by origin so orchestrators pace themselves rather than tripping challenge mechanisms. Security is table stakes—mTLS, IP allow-lists, role separation, immutable run logs, and kill-switch APIs—giving platform teams assurance as you scale agent fleets.

Edge behavior determines whether an agent completes a chain or gets stuck mid-step. GSocks implements low-latency handoff between POPs so a workflow can fail over without losing cookies, local storage, or in-memory tokens the page expects, while honoring your policy boundaries. State persistence anchors session jars across multi-step tasks—search → open result → follow pagination—so your tools don’t fight resets. Identity controls are explicit: define per-agent profiles (device class, language, time zone), choose ephemeral or durable lifetimes, and cap cross-task reuse to avoid accidental crosstalk. Streaming is first-class: WebSocket and SSE keepalive tuning reduces head-of-line blocking; chunked HTTP responses deliver partial content to your toolchains as soon as the server sends it. We expose practical diagnostics—first-byte vs first-token latency, frame/segment retries, hydration timeouts, and “reason for retry” breakdowns—so you can fix orchestration logic instead of papering over symptoms. All access is bounded by allow-lists and respectful pacing; no spoofing, no bypass kits—just disciplined transport that keeps agents productive and platforms cooperative.

With stable routing and session memory, agent use cases move from demo to durable. Research agents compile briefs from permitted public sources, validate quotes, and assemble citations with screenshots and hashes for audit—streaming tokens as they read so users never wait for the last byte. Sales copilots enrich accounts with permissible business attributes, verify opening hours and product coverage, and draft context-aware outreach grounded in what the agent actually saw, not cache folklore. Operations bots check status pages, changelogs, and documentation for regressions, file triage-ready tickets with HARs and screenshots, and confirm rollouts across locales. Because GSocks maintains locale/device fidelity and step-level state, your evaluations reflect real paths a human would take; outputs arrive as structured JSON with step traces, timings, evidence artifacts, and confidence flags that flow cleanly into LLM routers, memory stores, and governance systems. Over time, baselines on latency, success rate, and stream integrity let you tune policies for quality and cost rather than chasing sporadic failures.

Pick a partner on operational proof, not hype. QPS ceilings should be explicit at the project and origin level with windowed scheduling and pause/resume so budgets remain predictable. Streaming support must be native—SSE/WebSocket hygiene, chunked response propagation, and reconnect/resume semantics with jittered backoff—measured by first-token latency and stream-drop rate at p95/p99. Insist on success counted at the step level (rendered content or submitted form acknowledged), not just HTTP 200s, and demand breakdowns of retries by cause/POP. Integrations matter: lightweight SDKs for Node/Python/Go, first-class support for Playwright/Puppeteer/Selenium, and straightforward hooks for popular agent frameworks (LangChain, LlamaIndex, Semantic Kernel, Assistants) with per-step request IDs, HAR exports, and trace metadata. Governance is non-negotiable: mTLS, IP allow-lists, environment isolation, SIEM-exportable logs, and written acceptable-use terms aligned with platform policies. GSocks ships with these guarantees and prices against successful, rendered actions. Run a focused pilot, verify lift in first-token latency and step completion, then scale knowing your agents will stay responsive, compliant, and cost-efficient.