voker.ai valid
Voker
Voker is an agent analytics platform for teams building, monitoring, and improving AI agents in production. It helps product, engineering, data, and leadership teams understand user intent, detect corrections and friction, measure resolutions, and connect agent behavior to business outcomes.
For agents: Agent analytics platform for monitoring production AI agents, measuring user intent, resolutions and friction; documents SDKs and API reference.
agent analyticsai agent monitoringllm observabilityuser intent analysissdk
- Authority
- 47 reach 6 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://voker.ai/llms.txt
- Sections
- 6
- Links
- 28
- Size
- 5124 bytes
- Popularity rank
- #624211
- Country
- United States
- Categories
- AI and machine learning · Data and analytics · AI agents and MCP
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- Audience
- developers · agents can: read docs, call api · en
- First seen
- 2026-10-19T10:44:21.735Z
- Last checked
- 2026-10-21T10:15:56.462Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T10:15:54.010Z. Cached copy · Source on voker.ai
# Voker
> Voker is an agent analytics platform for teams building, monitoring, and improving AI agents in production. It helps product, engineering, data, and leadership teams understand user intent, detect corrections and friction, measure resolutions, and connect agent behavior to business outcomes.
Use this file as the curated index for understanding Voker, its product positioning, documentation, SDKs, provider integrations, API surface, research, and policies.
Important notes:
- Voker is designed for teams running production AI agents, especially high-volume conversational or workflow agents.
- Core measurement primitives include intents, corrections, and resolutions. Aka automated annotations.
- Voker complements observability, tracing, evals, and product analytics tools by focusing on aggregate agent behavior and product outcomes.
- Voker supports OpenAI, Anthropic, Gemini, Vercel AI SDK. In Python, and TypeScript integration paths.
- Prefer the documentation links for implementation details and the product/blog links for conceptual explanations.
## Product
- [Voker homepage](https://voker.ai): Product overview for Voker, including positioning, core use cases, pricing, supported stacks, and the value proposition for agent analytics.
- [What is Agent Analytics?](https://voker.ai/blog/what-is-agent-analytics): Conceptual introduction to agent analytics as the measurement layer for production AI agents.
- [Agent Analytics FAQ](https://voker.ai/blog/agent-analytics-faq): Frequently asked questions comparing agent analytics with observability, evals, traditional product analytics, log analysis, and internal build approaches.
## Documentation
- [Documentation overview](https://app.voker.ai/docs/overview): Entry point for Voker docs, including links to SDKs, API reference, supported providers, and changelog.
- [Concepts](https://app.voker.ai/docs/concepts): Overview of foundational Voker concepts.
- [Events](https://app.voker.ai/docs/concepts/events): Explains events captured by Voker, including LLM calls and related interaction data.
- [Agents](https://app.voker.ai/docs/concepts/agents): Explains how agents are represented and organized in Voker.
- [People](https://app.voker.ai/docs/concepts/people): Explains how users or end customers are represented in Voker.
## Integrations
- [Integrations overview](https://app.voker.ai/docs/integrations): Overview of Voker integration options.
- [API reference](https://app.voker.ai/docs/integrations/api/reference): REST API reference, including event creation, people, agents, agent versions, and fingerprints.
- [Python SDK](https://app.voker.ai/docs/integrations/sdks/python): Python SDK integration guide.
- [TypeScript SDK](https://app.voker.ai/docs/integrations/sdks/typescript): TypeScript SDK integration guide.
- [All providers](https://app.voker.ai/docs/integrations/providers): Overview of supported LLM provider integrations.
- [OpenAI provider](https://app.voker.ai/docs/integrations/providers/ope
…Related sites
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | 70 | ✓ | ✓ | ||
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | 61 | ✓ | |||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | 85 | ✓ | ✓ | ||
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | 75 | ✓ | ✓ | ||
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=voker.ai · GET /v1/domain/voker.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage voker.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for voker.ai:
1. POST https://agentwebmap.com/v1/sites/voker.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://voker.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/voker.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/voker.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.