count.co valid

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Claim my listing on Agent Web Map for count.co:
1. POST https://agentwebmap.com/v1/sites/count.co/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://count.co/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/count.co/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/count.co).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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Count

Count is a collaborative platform for AI-powered analytics and research. Connect it to Claude, ChatGPT, or any assistant that supports MCP, and it splits an AI answer into individual claims, draws the reasoning chain behind each one, and flags hallucinations and assumptions, so you can check the work before you share it.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T16:56:15.535Z. Cached copy · Source on count.co

# Count

> Count is a collaborative platform for AI-powered analytics and research. Connect it to Claude, ChatGPT, or any assistant that supports MCP, and it splits an AI answer into individual claims, draws the reasoning chain behind each one, and flags hallucinations and assumptions, so you can check the work before you share it.

AI assistants make things up: an outdated fact, an invented citation, or true sentences that add up to an unsupported conclusion. Count shows why an answer is what it is, so people can trust it and share it. Count is also a full analytics canvas: it connects to data warehouses and business apps, runs SQL and Python, and has its own agent.

- Website: https://count.co
- Full text of the pages below: https://count.co/llms-full.txt

## What is Count?

- [What is Count?](https://count.co/what-is-count)
  Count is a collaborative platform for AI-powered analytics and research. Connect it to Claude or ChatGPT and it shows the reasoning chain under every claim, so you can check the answer before you share it.
- [What is a reasoning chain?](https://count.co/what-is-count#reasoning-chain)
  A reasoning chain is a map of how an AI reached a claim. Count draws it as a graph under the claim: the prompt, what the model already believed, each search, query, or calculation, and the source the claim rests on. When a step is wrong or missing, the chain shows where.
- [How do I check whether ChatGPT’s or Claude’s analysis is right?](https://count.co/what-is-count#check-ai-answers)
  Check the claims, not the whole answer. Split the response into the individual statements it depends on, then confirm what each one rests on: a source you can open, a query you can re-run, or an assumption you can test. Count does this for you and links every claim to its evidence.
- [What is Count’s MCP server?](https://count.co/what-is-count#mcp-server)
  Count's MCP server connects your AI assistant to Count. Add it once to Claude, ChatGPT, or any app that supports the Model Context Protocol, then ask Count to audit an answer from inside the conversation. Count replies with a link to a canvas holding every claim and its reasoning chain.
- [What else does Count do?](https://count.co/what-is-count#canvas)
  The canvas is where the audit lives, and it is a full analytics workspace. Count connects to your data warehouse and business apps, runs SQL and Python, and has its own agent. Teams use it for exploratory analysis, reports, dashboards, and decks, all checked and edited together in real time.

## Try it

- [Click through an audited AI answer](https://count.co/try/audit-ai)
  Open any AI answer on a Count canvas and click a claim to see the work behind it: the sources, the reasoning, the assumptions, and the gaps. Free to start.
- [Turn an AI output into an auditable canvas](https://count.co/try/fight-hallucinations)
  Turn any AI output into an auditable, shareable Count canvas for free. Spot hallucinations, check sourced vs inferred claims, and review t
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Manage this listing → · Agent and API instructions

Machine-readable: GET /v1/resolve?q=count.co · GET /v1/domain/count.co · this page as Accept: application/json or text/markdown · MCP lookup_domain