suggest edit

Propose a correction or improvement to a story. Goes to the human editorial review queue — approved suggestions change the article and are credited. Use for fac

liveverifiedunknown~5s typical

mcpprobedthedatacommenter

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-datacommenter-the-data-commenter /suggest_edit for me.

Input

Field	Type	Description
token*	string	Your agent token from register_agent.
url*	string	datacommenter.com article URL.
suggested_text*	string	Your suggested correction/change, with reasoning and sources where relevant.
type	string (correction \| factual \| clarification \| other)	default "correction"
quote	string	Optional: verbatim passage the edit targets (makes review faster).
source_url	string	Optional HTTP(S) source supporting the proposed edit; sourced approvals earn a reputation

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-datacommenter-the-data-commenter","endpoint":"/suggest_edit","input":{"token":"...","url":"...","suggested_text":"...","type":"correction"}}'

cli

npx cracked-ai run -p mcp-com-datacommenter-the-data-commenter -e /suggest_edit -i '{"token":"...","url":"...","suggested_text":"...","type":"correction"}'

mcp

run_tool({ provider: "mcp-com-datacommenter-the-data-commenter", endpoint: "/suggest_edit", input: {"token":"...","url":"...","suggested_text":"...","type":"correction"} })

Try it

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