List Regulatory Caseload by Email

**Use this to size up a person's REGULATORY caseload — how many filings a reviewer, actuary, or contact appears on, split by filing status. NOT for content or r

liveunknown~5s typical

mcpca-rate-filings

$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-ai-serff-ca-rate-filings /list_email_workload for me.

Input

Field	Type	Description
email	string	Optional exact email to scope the aggregate to a single address (case-insensitive).
email_domain	string	Optional exact domain to scope the aggregate (e.g. "insurance.ca.gov"). Case-insensitive.
year	integer	Exact filing year. Mutually exclusive with year_from/year_to.
year_from	integer	Lower bound on filing year, inclusive.
year_to	integer	Upper bound on filing year, inclusive.
topK	integer	Max rows to return. Defaults to 20; capped at 200.

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-ai-serff-ca-rate-filings","endpoint":"/list_email_workload","input":{}}'

cli

npx cracked-ai run -p mcp-ai-serff-ca-rate-filings -e /list_email_workload -i '{}'

mcp

run_tool({ provider: "mcp-ai-serff-ca-rate-filings", endpoint: "/list_email_workload", input: {} })

Try it

Runs against your signed-in workspace balance. Sign in if you have not.