Estimate Twitter/X KOL rates from public engagement, audience fit, and risk.
Ask Claude, ChatGPT custom MCP apps, OpenClaw, Hermes, Codex, Claude Code, Cursor, VS Code, or another MCP-capable agent to price public Twitter/X creators with UnifAPI MCP, recent engagement, audience fit, and confidence notes.
An atomic marketing skill you run inside Claude, ChatGPT, Claude Code, Cursor, Codex, OpenClaw, Hermes, or any MCP client — read-only public-data research, eyes not hands. It diagnoses, prices, and drafts evidence; your own assistant and accounts take any action.
- Marketing teams planning creator sponsorship budgets
- Founders comparing influencer outreach targets before a launch
- Agencies that want repeatable pricing evidence instead of spreadsheet guesswork
- Ranked creator table with suggested low/base/high rate range
- Evidence summary from recent public posts and engagement metrics
- Audience-fit and brand-safety notes
- Follow-up searches the agent should run before outreach
Live public data through the shared unifapi data skill — UnifAPI APIs: twitter, youtube, instagram, tiktok, reddit. Connect once over OAuth; no scraping to maintain and no keys to rotate. Every figure in the output is cited to the record it came from.
Analyze these Twitter/X KOLs for an AI developer-tool campaign: @vercel, @shadcn, @rauchg. Use UnifAPI public data, compare recent engagement, audience fit, posting cadence, and collaboration risk. Return a ranked table with estimated sponsored-post price ranges, confidence, evidence, and follow-up questions.
Run it in any MCP client. Paste one prompt (Claude Code, Codex, Cursor, OpenClaw, …) to add the UnifAPI public-data MCP server at https://mcp.unifapi.com over OAuth — read-only, no API key — then add the marketing skills with npx skills add unifapi-agent/agents.
Prefer a web connector (Claude · ChatGPT · Perplexity · Grok), or the one-shot plugin for Claude-compatible hosts:
/plugin marketplace add unifapi-agent/agents
/plugin install unifapi@unifapi
Every client, step by step: https://unifapi.com/mcp
No. It gives an evidence-backed starting range from public data so a marketer can negotiate with more context. Final pricing still depends on creator terms, package, exclusivity, usage rights, and campaign scope.
KOL pricing is rarely a single click. The useful work is follow-up: search adjacent creators, compare historical posts, ask why one account is risky, and rerun the brief for a new niche. Codex or Claude Code can keep that loop in one thread.
No. Bring the agent product you already use, such as Codex or Claude Code. UnifAPI provides the MCP public-data tools; the agent plan handles model execution.
UnifAPI standard public-data records are one $0.001 credit, with operation minimums published from OpenAPI. X's current public pay-per-use docs list public read operations such as posts at $0.005 per resource and users or trends at $0.010 per resource, while X owned-read pricing is a separate case for your own authenticated data.
- Part of the Influencer Marketing Agent
- Shared data skill:
unifapi
- Skill page: https://unifapi.com/skills/kol-pricing
- The skill itself: SKILL.md
- Install & all clients: https://unifapi.com/mcp
- Docs: https://docs.unifapi.com
Adapted from Antoniaiaiaiaia/kol-pricing (MIT, Antonia (@antoniayly)), enhanced with live public-data evidence via UnifAPI. See references/original-license.md for the original license.
Topics: influencer rate calculator · how much to pay an influencer · influencer pricing calculator · sponsored post rate · creator pricing · influencer cost estimation · Twitter influencer rates · KOL pricing