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PostHog AI Observability

Traces every LLM call in your AI product, with prompt, tokens, cost, latency and the user who triggered it

Observability tool by PostHog

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Chalk Labs

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About

PostHog AI Observability captures prompts, responses, tokens, cost, latency and tool calls, and stitches them into traces. Each trace is linked to the user, their session replay and any exceptions. Evaluations use the trace data to score outputs, and the traces can be queried from the web app, an MCP client or the API.

Use cases: monitoring-observability, llm-evaluation

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Fact sheet

Category
Tracing · product analytics
Protocols
mcp

Plans

Free$0100K AI observability events per month, resets monthly; evaluations billed with AI observability

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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50+
launches shipped
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500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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PostHog AI Observability. Agent Mart. https://agentmart.dev/observability/posthog-ai-observability (last updated 2026-10-24)