Know what every agent costs, the moment one breaks, and whether its answers still hold up. Built for the engineers who shipped AI to production and now have to keep it running.
An agent stops firing, quietly burns three times its budget, or starts returning worse answers with the same confidence as the right ones. The first you hear of it is a customer. That is the bug.
A web service crashes loudly. An agent does not: it returns a confident wrong answer and a 200, so the exception tracker never fires and the latency graph stays flat. You put agents in production this year. The tools watching them were built for software that breaks the old way.
Our support-triage agent quietly broke for 11 days. We found out from a customer.
→Heartbeat monitoring with expected schedules. Get paged in seconds when a scheduled agent goes silent, with full context on what was supposed to run and what the last successful run produced.
Our token bill jumped from £2,400 to £8,900 last month. Three days to figure out which agent.
→Per-agent, per-customer, per-feature cost attribution. Spend alerts the moment any agent breaks its own baseline. Cost-per-successful-run as the metric finance can build budgets around.
We shipped a prompt change. Output quality fell 22%. Nobody noticed for two weeks.
→Define what good looks like once: a rubric, a JSON schema, an LLM-as-judge prompt. Every run gets scored. Drift surfaces in your dashboard before it surfaces in your support inbox.
Meet the agent command center for fast-moving teams.
Every team running agents in production needs the same three things: what they cost, whether they're healthy, and whether they're any good. Most teams bolt that together from a billing dashboard, some logging, and a spreadsheet that's already out of date. AgentPing watches all three on one platform, so you stop stitching the picture together by hand.
Everything is measured per run: one end-to-end execution of an agent, from the moment it starts to the moment it finishes or fails.
Stop finding out about the bill at month-end.
Find the dead agent before your customer does.
Catch the quality drop before your users feel it.
Two lines in your code and every Anthropic, OpenAI, Bedrock, Mistral, Gemini, or Cohere call is captured: tokens, cost, latency, tool use, errors. No manual tracing.
First-class hooks for LangChain, LlamaIndex, Vercel AI, Pydantic AI, CrewAI, and the OpenAI Agents SDK. Trace agent loops, chains, and handoffs without custom plumbing.
One authenticated HTTP endpoint works from cron, n8n, Make, Zapier, GitHub Actions, Claude Routines, or any shell script. If your agent can curl, it's monitored.
curl, it works. Custom integrations via plain HTTP.
See all integrations →
Python, TypeScript, cron, n8n, Claude Routine, anything. Two lines of code or one HTTP request.
Tokens, cost, latency, tool calls, outputs. Captured asynchronously and never blocks your agent; if our service is down, yours keeps running.
Live dashboard, spend and quality alerts to Slack or PagerDuty, drift surfaced the moment scores slip.
Native SDKs for Python, TypeScript, Go, Ruby, and PHP auto-capture every Anthropic, OpenAI, Bedrock, or Gemini call your agents make, with tokens, cost, latency, tool use, and errors.
For agents you can't host an SDK in, a single authenticated webhook works from cron, n8n, GitHub Actions, Claude Routines, or anything that can speak HTTP.
import agentping agentping.init("daily-summary") # auto-captures every llm call # anthropic · openai · bedrock · gemini
import { AgentPing } from "agentping"; AgentPing.init({ agent: "daily-summary" }); // works with @anthropic-ai/sdk, openai, // vercel ai sdk · node, bun, deno
import "github.com/agent-ping/agent-ping-go" agentping.Init("daily-summary") // wraps anthropic-sdk-go, go-openai // context-aware, goroutine-safe
require "agentping" AgentPing.init("daily-summary") # wraps anthropic-ruby, ruby-openai # works with sidekiq, rails jobs, rake
use AgentPing\AgentPing; AgentPing::init('daily-summary'); // auto-discovered service provider // hooks scheduled commands + queued jobs
# a single request, that's it curl https://api.agentping.io/p/your-agent-id # report status, duration, cost as params curl "https://api.agentping.io/p/your-agent-id?status=ok&cost=0.012"
"We ship AI features inside our product: a support agent, a triage classifier, a summariser. The token bill needs keeping an eye on."
Most start on Team.
"We run several agents in production. They call other agents. One goes silent and we find out from a Zendesk ticket. We need traces, heartbeats, and an alert path on-call respects."
Most start on Business.
"I shipped one critical agent into the product six weeks ago. I check the logs every morning before opening Linear. I need to sleep through the night."
Start on Free, grow into Starter.
Start free. Paid plans come with a 14-day trial. No per-seat, no per-span tax.
For developers wiring up their first agents.
For one team running a handful of agents.
For teams shipping AI features to customers.
For larger teams with multiple agent fleets.
Will it slow my agents down?
No. The SDK never blocks your agent. Telemetry runs on a separate thread with a hard 2-second timeout, a bounded local queue, and graceful degradation when our service is unreachable. If we go down, your agents run as if we weren't installed.
What's the deployment model?
Fully hosted SaaS. You pick the ingestion region: US or EU.
Can I export my data?
Yes. Full event export to JSON or Parquet. API access on every tier. We don't lock your data in.
Cost, health, and quality for every agent you run in production. Live in minutes, free to start.
Free to start. No card. In private beta. The SDK never blocks your agents, and never crashes them.