SiliconBridgeHuman-in-the-loop API for solving CAPTCHAs, verifications, and approvals on behalf of AI agents.
Overview
Key features
- REST API for submitting verification tasks
- Human workers for CAPTCHA solving
- Support for identity and approval checks
- Callback-based result delivery
- Integration with AI agent frameworks
- Usage-based pricing per solved task
Pricing
- Model
- Free
- Category
- AI Agents Platform
- Rating
- 4.4 / 5 (5)
Use cases
Unblock agentic workflows at CAPTCHAs
Route CAPTCHA challenges encountered by autonomous AI agents to human workers via API so end-to-end workflows continue without manual intervention.
Human fallback for scraping pipelines
When automated solvers fail on scraping jobs, submit the task to SiliconBridge and receive the solution through a callback to resume data collection.
Identity verification step in automations
Delegate identity checks that require human judgment to real workers, letting browser automations clear verification gates programmatically.
Approval gating for agent actions
Insert a human approval step into agent decision flows by calling the API, ensuring sensitive actions get reviewed before execution.
Pros & Cons
Pros
- Handles verifications automated solvers can't
- Simple API fits into agent workflows
- Reduces manual intervention in long-running tasks
- Supports a range of approval and CAPTCHA types
Cons
- Adds per-task cost to automations
- Latency depends on human availability
- Raises compliance questions for some use cases
- Less predictable than pure software solvers
Reviews
Average from 5 ratings.
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Compared a few options
Evaluated this against two competitors. Where it wins: rEST API for submitting verification tasks and simple API fits into agent workflows. Where it lags: less predictable than pure software solvers. On balance the feature set — especially usage-based pricing per solved task — justifies the 4 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and handles verifications automated solvers can't. Usage-based pricing per solved task fits neatly into how we already work, and rEST API for submitting verification tasks removed a step we used to do by hand. Latency depends on human availability, which is the main caveat, but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and supports a range of approval and CAPTCHA types. Callback-based result delivery fits neatly into how we already work, and usage-based pricing per solved task removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on human workers for CAPTCHA solving, and supports a range of approval and CAPTCHA types caught me off guard. still, I'd recommend giving it a real trial.
Use it every day
Honestly didn't expect to like it this much. REST API for submitting verification tasks is exactly what I needed, and supports a range of approval and CAPTCHA types. I do wish less predictable than pure software solvers, but I reach for it almost every day now and it just clicks.
Q&A
How does SiliconBridge's pricing work?
SiliconBridge uses usage-based pricing, charging per solved task. You only pay when a human worker successfully completes a verification, CAPTCHA, or approval step, which adds a per-task cost to your automation workflows.
What types of verifications can it handle beyond CAPTCHAs?
In addition to CAPTCHA solving, SiliconBridge supports identity checks and approval steps. Any verification that requires human judgment can be submitted via the REST API and routed to a human worker for completion.
How does it integrate with existing AI agent workflows?
SiliconBridge provides a REST API for submitting tasks and uses callback-based result delivery, so agents can continue running asynchronously. It's designed to integrate with AI agent frameworks, browser automations, and scraping pipelines as a callable fallback function.
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