The comments on our Product Hunt launch raised thoughtful questions about AgentKey

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The discussion has moved beyond “How many data sources do you support?” to something more important:

When agents rely on live data for real work, how can users know the results are reliable, transparent, and controllable?

Here are the main questions and our current answers.

1/ Why do requests go through AgentKey?

A managed provider pool is what makes unified billing, provider health monitoring, QoS routing, and failover possible.

Today, requests made through the AgentKey marketplace pass through our service. We process only what is required to complete the call. We do not access your local files, agent conversations, or unrelated credentials.

2/ Can I use my own API keys or run AgentKey locally?

Marketplace calls currently use the provider pool managed by AgentKey. BYOK and a fully local mode are not supported today.

Your existing APIs, MCP servers, and private data sources can still run alongside AgentKey in the same agent.

We are evaluating BYOK, but we first need to determine how health monitoring, billing, and failover would work with user-managed providers.

3/ How does automatic failover actually work?

We want to be precise here.

If our health checks detect that a provider is degraded before a request begins, it is removed from the available candidates.

If a provider fails during a request, we do not present a partial response as a successful result or combine fragments from multiple providers. The agent receives an explicit failure and a set of equivalent alternatives, then makes a complete new request using the replacement tool’s schema.

4/ Can users see which provider served a request?

Every response includes the provider that served it and the cost of the call. Calls are also recorded in the console.

However, the Product Hunt discussion revealed a real gap: we should make it much clearer when a fallback occurred, which provider was replaced, and why.

Better per-call failover visibility is now part of our observability roadmap.

5/ What happens when providers use different schemas?

We do not pretend that every provider fits one universal schema.

When the agent selects an alternative, it retrieves that tool’s complete schema before retrying. We believe an explicit schema change is safer than hiding differences behind an abstraction that may silently map fields incorrectly.

Our principle is simple: failures should be visible, sources should be traceable, and structural changes should never happen invisibly.

6/ How does AgentKey select the right tool from 1,800+ endpoints?

We do not load every tool definition into the agent’s context.

The agent describes what it needs in natural language. Our retrieval layer returns a shortlist of relevant tools. The agent selects one, retrieves its full schema, and only then executes it.

This reduces tool-discovery context from roughly 35,000 tokens to around 1,500.

7/ What happens when tool discovery selects the wrong endpoint?

This is one of the areas where we have the most work left to do.

The retrieval layer never executes a tool by itself. An obviously wrong match should appear as a strange shortlist that the agent can reject or re-query.

The harder case is a candidate that looks plausible but is still wrong. That can produce a poor result without an explicit error.

We are improving ranking visibility, outcome feedback, and observability so these mistakes become easier to detect instead of remaining silent.

8/ Where does social-platform data come from, and who carries the platform risk?

AgentKey does not ask users to connect their personal X, LinkedIn, or other social accounts, and we do not run collection jobs through users’ identities.

The data comes from established data providers and official APIs where available. Those providers manage their own platform relationships and infrastructure. AgentKey gives users read-only access to the resulting public data.

We also plan to make provider provenance more transparent.

9/ Do users need a separate subscription for every data source?

No.

One AgentKey account and one balance cover the entire catalog. Tools have different per-call credit prices, shown before execution, and the response includes the actual cost.

A basic web search and an expensive social-data request should not be forced into the same flat price.

10/ What prevents an agent loop from consuming the entire balance?

AgentKey uses prepaid credits, so a runaway loop cannot continue charging a card without a limit. The available balance is the current hard ceiling.

But the Product Hunt comments identified a valid need: per-agent limits, per-task budgets, daily caps, and abnormal-spend alerts.

These controls are not all available yet, and they are a high-priority direction for us.

11/ Does AgentKey support private APIs and internal enterprise data?

The marketplace currently focuses on curated public, read-only data services. Private APIs are not yet part of the shared catalog.

For now, we recommend running internal APIs or private MCP servers alongside AgentKey.

We are actively evaluating private catalogs and enterprise data-source support.

12/ How are providers selected?

The first providers were selected manually based on actual user demand, coverage, stability, and quality.

Our long-term goal is an open, two-sided marketplace where providers can submit capabilities. Before opening it broadly, we need strong vetting, quality scoring, security boundaries, and removal mechanisms.

We would rather curate useful providers than inflate the endpoint count.

13/ Can access for one agent be revoked without affecting the human user?

Yes.

The agent’s API key and the user’s login session are separate. Revoking an agent key immediately removes that agent’s access without logging out the user or invalidating the user’s account.

Automated drift detection and behavior-based revocation are areas we want to develop further. Today, revocation is still primarily a human decision.

14/ Does the name “AgentKey” make the product sound like an authentication or secrets-management tool?

That is fair feedback.

“Key” represents one integration that unlocks a marketplace of capabilities. But without context, the name can also suggest agent authentication or credential management.

Our current positioning—“One-stop live data marketplace for your agent”—is intended to make the product’s purpose clearer. We will keep listening and refining how we communicate it.

These questions matter far more than the raw number of supported data sources.

AgentKey is not only trying to solve connectivity. We want agents using external data to have traceable sources, explainable failures, controlled spending, and execution that users can trust.

What have we still not answered clearly? Keep the questions coming.

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Really appreciate the transparency here. One question I still have is around reproducibility. If the same agent task runs twice but a different provider or fallback is selected, will users be able to compare the full execution trace and understand why the result changed?

Thank you for followinvg up! Today you can already see the serving provider, the call history, and the agent transcript, so you can trace what happened. What we don't have yet is an easy way to compare two runs and understand why the results were different. Better observability around routing decisions and execution history is definitely something we want to improve☺️

this is one of the most honest maker AMAs I've read on here, most teams would've just dodged #7. the plausible-but-wrong tool match is the scary one because nothing looks broken from the outside - the agent just quietly does the wrong thing with a straight face. curious if you're thinking about surfacing a confidence/similarity score alongside the shortlist so a human (or the agent itself) can sanity check a borderline pick before it executes, rather than only finding out after the fact when the output looks off