Is BlockRun a replacement for Helicone?

No — they do different jobs. Helicone logs and analyses calls you make with your own provider keys; BlockRun pays the provider for you, so there are no keys to hold. Many teams use both.

Does Helicone pay the upstream provider?

No. Helicone is an observability proxy: you bring your own OpenAI, Anthropic or other keys and it records the traffic. BlockRun settles each call with the provider itself.

Can I use Helicone's logging with BlockRun as the gateway?

Yes. Point Helicone's proxy at BlockRun's OpenAI-compatible endpoint the way you would at a provider, and it logs the calls while BlockRun pays for them.

What observability does BlockRun have on its own?

Per-call usage in every response, a public status page, and an on-chain receipt for every paid call. It is not Helicone's request-log, prompt-diff and cost dashboard, and does not try to be.

Does BlockRun route across providers like Helicone does?

BlockRun does — one endpoint in front of every provider it serves, with automatic fallback. Helicone is per-provider: it proxies the provider you configured.

Which is cheaper, BlockRun or Helicone?

They are not priced on the same thing. Helicone charges by log volume on top of the provider bill you already pay; BlockRun charges the provider's token rate plus a flat per-call fee and there is no separate provider bill.

BlockRun vs Helicone for an autonomous agent — which one?

An agent that pays for itself needs a gateway that takes payment per call, which is BlockRun. Add Helicone if the humans behind it want the logs.

Does BlockRun offer prompt caching like Helicone?

Opt-in prompt caching on the Anthropic protocol, with cache reads and writes reported in usage. Helicone's cache is a response cache in the proxy; the two are different mechanisms.

Comparison

BlockRun vs Helicone

Updated September 2, 2026

They solve different problems. BlockRun is a payment gateway: you call BlockRun and it pays the upstream provider for you. Helicone is an observability proxy: you call OpenAI/Anthropic/etc. through Helicone and it logs every request. Many teams use both.

Side-by-side

Feature	BlockRun	Helicone
Primary purpose	Pay providers on your behalf	Log + analyze your LLM calls
Pays the upstream provider?	Yes	No (you still bring your own provider keys)
Billing	Pay-per-call USDC over x402	Free tier + paid tiers based on log volume
Auth	Wallet signature per call	API key (passes through your provider key)
Observability	Basic metrics + on-chain receipts	Deep — request logs, prompt diffs, costs, latencies
Caching	Opt-in Anthropic prompt caching	Optional
Free models	Yes, no signup	N/A — you bring your own provider
Multi-provider routing	Yes (one OpenAI-compatible endpoint)	No (Helicone is per-provider)
BlockRun MCP	Yes (19 tools)	No

When to choose BlockRun

You don't want to manage provider API keys at all.
You're building agents that pay per-call from a wallet.
You want one OpenAI-compatible endpoint in front of 86 chat models.
You need data + media + compute APIs alongside chat.

When to choose Helicone

You already have direct provider relationships and API keys.
You need deep request logging, prompt diffing, and cost analytics.
You want to debug specific LLM responses with full traces.
You don't need a payment layer — billing already works for you.

Use them together

You can route BlockRun calls through Helicone for both: pay-per-call USDC settlement on the front end, deep request observability on the back. Set Helicone as your HTTP proxy and point your BlockRun SDK base URL through it.

The bottom line

Different layers of the stack. BlockRun is the payment layer — the endpoint that pays the upstream for you. Helicone is the observability layer. Pick the one that solves your bigger problem first; add the other when you need it.

If something on this page is wrong, email hello@blockrun.ai.

BlockRun vs Helicone questions: observability, payment, keys

Is BlockRun a replacement for Helicone?: No — they do different jobs. Helicone logs and analyses calls you make with your own provider keys; BlockRun pays the provider for you, so there are no keys to hold. Many teams use both.
Does Helicone pay the upstream provider?: No. Helicone is an observability proxy: you bring your own OpenAI, Anthropic or other keys and it records the traffic. BlockRun settles each call with the provider itself.
Can I use Helicone's logging with BlockRun as the gateway?: Yes. Point Helicone's proxy at BlockRun's OpenAI-compatible endpoint the way you would at a provider, and it logs the calls while BlockRun pays for them.
What observability does BlockRun have on its own?: Per-call usage in every response, a public status page, and an on-chain receipt for every paid call. It is not Helicone's request-log, prompt-diff and cost dashboard, and does not try to be.
Does BlockRun route across providers like Helicone does?: BlockRun does — one endpoint in front of every provider it serves, with automatic fallback. Helicone is per-provider: it proxies the provider you configured.
Which is cheaper, BlockRun or Helicone?: They are not priced on the same thing. Helicone charges by log volume on top of the provider bill you already pay; BlockRun charges the provider's token rate plus a flat per-call fee and there is no separate provider bill.
BlockRun vs Helicone for an autonomous agent — which one?: An agent that pays for itself needs a gateway that takes payment per call, which is BlockRun. Add Helicone if the humans behind it want the logs.
Does BlockRun offer prompt caching like Helicone?: Opt-in prompt caching on the Anthropic protocol, with cache reads and writes reported in usage. Helicone's cache is a response cache in the proxy; the two are different mechanisms.