surf-social

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Crypto-Twitter / KOL intelligence via Surf — project mindshare time series, smart-follower history (high-signal accounts), social ranking, tweet + replies fetch, user profile / followers / posts / replies. Use when the user asks about KOL sentiment, project attention, smart money commentary, narrative momentum, or specific Twitter handles.

BlockRunAI By BlockRunAI schedule Updated 5/17/2026

name: surf-social description: Crypto-Twitter / KOL intelligence via Surf — project mindshare time series, smart-follower history (high-signal accounts), social ranking, tweet + replies fetch, user profile / followers / posts / replies. Use when the user asks about KOL sentiment, project attention, smart money commentary, narrative momentum, or specific Twitter handles. triggers: - "kol sentiment" - "mindshare" - "smart followers" - "crypto twitter" - "ct sentiment" - "twitter analysis" - "social ranking" - "tweet" - "twitter handle" argument-hint: <project, handle, or question> cost-receipt: true

You are running inside Franklin on {{wallet_chain}}. Use the BlockRun tool to call Surf's social endpoints. This is the canonical source for crypto-Twitter signal — mindshare scoring, KOL identification, and reply-graph analysis.

Chain note: Surf currently settles x402 payments on Base only. If the user's active chain is solana and you hit a payment error, ask them to /chain base before retrying. The social data itself is chain-agnostic.

How to use

BlockRun({ path: "/v1/surf/<endpoint>", method: "GET", params: { ... } }). All endpoints below are GET.

Endpoint catalog

Project-level signal (Tier 2, $0.005)

Path Required params What it returns
/v1/surf/social/detail Aggregated social analytics for a project
/v1/surf/social/ranking Mindshare ranking across projects
/v1/surf/social/smart-followers/history Smart-follower count history (high-signal accounts only)
/v1/surf/social/mindshare q, interval Mindshare time series for a project (q = ticker or name, interval = 1d / 7d / 30d)

Tweet-level (Tier 1, $0.001)

Path Required params What it returns
/v1/surf/social/tweets ids (comma-sep) Fetch tweets by ID
/v1/surf/social/tweet/replies tweet_id Replies to a specific tweet

User-level (Tier 1, $0.001)

Path Required params What it returns
/v1/surf/social/user handle Twitter user profile
/v1/surf/social/user/followers handle Followers list
/v1/surf/social/user/following handle Following list
/v1/surf/social/user/posts handle User posts
/v1/surf/social/user/replies handle User replies

How to choose

  • "What's the market saying about $X?"social/mindshare with q: "X", interval: "7d" ($0.005). Read the trend, not the absolute number.
  • "Who's the smart money following $X?"social/smart-followers/history ($0.005). Compare growth rate to baseline.
  • "Top projects by attention right now"social/ranking ($0.005).
  • "Is @handle a real player?"social/user then social/user/followers (look at follower-to-following ratio + which smart accounts follow them).
  • "What did @handle say recently?"social/user/posts ($0.001 each).
  • "Show me the reply storm under tweet X"social/tweet/replies ($0.001).

When NOT to use this skill

  • Generic Twitter scraping or non-crypto sentiment → use BrowserX or a web search tool. Surf is curated for crypto-relevant accounts.
  • Real-time tweet streaming → not supported; this is historical / batch reads.

Cost discipline

  • User-level reads are cheap ($0.001). Free to fan out across 5–10 handles when profiling.
  • Project-level signal is $0.005/call. One mindshare + one smart-followers call is usually enough to answer "is this thing real?".
  • Always include the cost in your summary.

The user asked

$ARGUMENTS

Install via CLI
npx skills add https://github.com/BlockRunAI/Franklin --skill surf-social
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