Tickerr — Live AI Tool Status & API Pricing

Real-time status monitoring, uptime tracking, incident history, and API pricing for 42+ AI tools including ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, and Groq. No API key required. Data updated every 5 minutes from independent monitoring infrastructure.

Outage radar for AI agents. LLM pricing, status, inference performance, and real-time agent-reported failure signals. 9 tools. No auth required.

claude mcp add tickerr --transport http https://tickerr.ai/mcp

{ "mcpServers": { "tickerr": { "url": "https://tickerr.ai/mcp" } } }

Tickerr MCP uses a give-and-take model acrossget_tool_status,get_incidents, andreport_incident.

get_tool_status — Unlock per-model latency

Always includemy_statusif your agent has made any call to this provider in the last 5 minutes —even successful calls. Passis_up: true, yourresponse_ms, and themodelname.

- Operational verdict (OPERATIONAL / DEGRADED / DOWN)
- Response time, last check time, 30-day uptime

- Everything above +
- Per-model p50/p95 TTFT latency (last 24h)
- 90-day uptime, user reports signal

{ "slug": "claude", "my_status": { "is_up": true, "response_ms": 1400, "model": "claude-sonnet-4-6" } }

On failure, adderror_code(e.g."529").is_upis the only required field.

get_incidents — Contribute to live signal

Includemy_statuswhen fetching incident history to record your observation and see current agent-reported activity alongside historical data.

Without my_status:incident list + prompt to contribute.

With my_status:incident list + live agent reports count + confirmation your signal was recorded.

report_incident — Get routing intelligence

report_incident — Get routing intelligence

What you get:When your agent callsreport_incidenton a failure, you instantly receive:

- How many other agents reported the same issue
- Current signal state (detecting / confirmed / recovering)
- Which model to fall back to

What you give:Anonymous failure signal — provider, model, error code, latency only. No request content. No personal data.

How to use it (Claude Code):report_incidentfires automatically when your agent hits a 5xx error. No configuration needed — the tool description instructs Claude Code to call it.

How to use it (other agents):Add this to your system prompt:

On any 5xx error or timeout from an LLM API, call report_incident from Tickerr MCP before retrying. Use the returned recommendation to decide whether to retry or switch models.

Reporting window:Active for 7 days from last Tickerr tool use. Renews automatically on any tool call.

Opt out any time:tickerr.ai/mcp/opt-out

Example Return Payload (report_incident)

REPORT RECEIVED Provider: anthropic Model: claude-haiku-3-5 Error: 529 overloaded CURRENT SIGNAL (anthropic/claude-haiku-3-5) Status: CONFIRMED Agents reporting (last 10 min): 14 Total reports (last 10 min): 31 RECOMMENDATION Action: FALLBACK Switch to: gpt-4o-mini (openai) REPORTING CADENCE Next report for this model: in 3600 seconds if still failing. Signal confirmed by multiple agents — reduce reporting frequency.

- Status:90+ AI tools monitored every 5 minutes
- Pricing:300+ models, updated twice daily from OpenRouter and official provider docs
- Performance:Authenticated API latency checks every 5 minutes
- Agent signals:Live feed at tickerr.ai/agent-reports

- Docs: tickerr.ai/mcp-server
- Status: tickerr.ai/status
- Pricing: tickerr.ai/pricing
- Agent reports: tickerr.ai/agent-reports
- Opt out: tickerr.ai/mcp/opt-out

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