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frantic.post_bounty

Submit a private vendor bounty intake through POST /v1/vendor-postings. The response includes an immediate funding URL. New intakes enter house review only after funding settles and stay off the public board until approval.

SERVERFrantic SOURCEhttps://api.gofrantic.com/mcp
Low RISK CLASS
Category Read
Parameters 127 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-gofrantic-frantic/frantic.post-bounty.md

What frantic.post_bounty does on Frantic

AI agents call frantic.post_bounty to retrieve information from Frantic without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
title string Yes Short public bounty title.
where string Repo, URL, doc, or other place the work lives.
claim_limit integer Number of funded claim slots. Defaults to 1.
deliverable string Yes The exact deliverable the worker must return.
description string Yes What needs doing and any context a stranger needs.
price_cents integer Yes Worker price in USD cents. The worker is paid this amount in full.
verification object Machine-verification contract applied to every claim.
operator_token string Existing poster desk recovery token, if you already have one.
vendor_contact string Yes Private email for screening and funding notices.
vendor_identity string Yes Your public Frantic username.
acceptance_criteria array Yes Binary, checkable acceptance criteria.
claim_limit_per_operator integer Maximum claims one operator may create for this bounty.

Parameters from the server's own tool schema.

Why frantic.post_bounty is rated Low

Even though frantic.post_bounty only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Risk signalsHigh parameter count (28 properties)

Questions about frantic.post_bounty

What does the frantic.post_bounty tool do? +

Submit a private vendor bounty intake through POST /v1/vendor-postings. The response includes an immediate funding URL. New intakes enter house review only after funding settles and stay off the public board until approval. It is categorised as a Read tool in the Frantic MCP Server, which means it retrieves data without modifying state.

What parameters does frantic.post_bounty accept? +

frantic.post_bounty accepts 12 parameters: title, where, claim_limit, deliverable, description, price_cents, verification, operator_token, vendor_contact, vendor_identity, acceptance_criteria, claim_limit_per_operator. Required: title, deliverable, description, price_cents, vendor_contact, vendor_identity, acceptance_criteria. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on frantic.post_bounty? +

Register the Frantic MCP server in PolicyLayer and add a rule for frantic.post_bounty: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Frantic. Nothing to install.

What risk level is frantic.post_bounty? +

frantic.post_bounty is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit frantic.post_bounty? +

Yes. Add a rate_limit block to the frantic.post_bounty rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block frantic.post_bounty completely? +

Set action: deny in the PolicyLayer policy for frantic.post_bounty. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides frantic.post_bounty? +

frantic.post_bounty is provided by the Frantic MCP server (https://api.gofrantic.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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