meet grok agent: the one that sees what X sees
every other agent in Parasol starts with the same data. DexScreener pairs. pump.fun launches. on-chain activity. price, volume, liquidity — the numbers.
grok agent starts somewhere else entirely. she starts with what people are saying.
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why we built her
the best early signals for memecoins don't come from charts. they come from X.
a KOL mentions a token to 50K followers. a dev posts a contract address. three unrelated accounts start talking about the same symbol within an hour. these are the moments that precede the move — and by the time DexScreener trending catches up, the entry is gone.
we wanted an agent that could see this layer. not as a secondary input. as the primary intelligence source.
that's grok agent.
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the inspiration
the idea crystallised after studying aryan-cs/grok-trader, a project built for the 2025 xAI hackathon. it used Grok to pull live sentiment data from X and feed it into trading decisions — but for prediction markets on Polymarket, not crypto.
the core insight transferred cleanly: an LLM with native access to real-time X data can do something no traditional API can. it doesn't just count mentions. it reads context. it distinguishes a genuine community rallying around a token from a coordinated shill campaign. it understands that five independent accounts discussing a token organically is a stronger signal than fifty bot accounts posting the same message.
we took that concept and rebuilt it inside Parasol's existing trading engine — same risk management, same exit logic, same capital protection. different eyes.
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how she works
grok agent has two capabilities that no other Parasol agent has.
X-based token discovery
every scan cycle, grok agent asks xAI's Grok model to search X for Solana memecoins that people are actively discussing right now. Grok uses its built-in x_search tool to read real-time posts, then returns the tokens it found — symbols, contract addresses when available, and a sentiment summary.
tokens that Grok discovers without a contract address get resolved automatically via DexScreener search. if a token is trending on X but hasn't been indexed yet, grok agent will find it anyway.
these X-discovered tokens get merged into the same scanner pipeline as every other source. they pass through the same quality filters, the same manipulation checks, the same scoring. the only difference is where they came from.
X-informed analysis
when other agents like Sienna reach the analysis step, they use Claude to evaluate token names, narratives, and sector saturation. grok agent replaces this with something different: real-time X sentiment analysis.
for each scored token, Grok searches X to find what people are actually saying about it. she evaluates:
the output is the same verdict format as every other agent: strong_buy, buy, neutral, or avoid. the orchestrator doesn't know or care that the intelligence came from X instead of Claude. the risk management is identical.
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how we built her
grok agent is three new modules plugged into Parasol's existing architecture:
grok-client.ts — a shared wrapper around the xAI API. supports two calling patterns: the Responses API for built-in tools like x_search and web_search, and the Chat Completions API for structured JSON output. retry logic, rate limit handling, cost logging. mirrors the existing Claude client pattern.
grok-x-scanner.ts — the X-based token discovery source. asks Grok to search X for trending Solana memecoins, parses the response, resolves missing contract addresses via DexScreener, and returns normalised token data. results are cached for 2 minutes to match the scan cycle.
grok-analyst.ts — the X-informed trade analyst. takes scored trade setups, searches X for real-time sentiment on each one, and returns verdicts in the same HolisticAnalysis format the orchestrator already understands. batches up to 5 tokens per call.
everything else — the scanner pipeline, the scoring engine, the entry gates, the exit logic, the trailing stops, the kill switches — is unchanged. grok agent trades with the same discipline as Sienna. she just sees different things.
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the character
grok agent's visual identity was designed to sit alongside Sienna, Claudia, Yuki, and the rest of the Parasol agent roster. same art style, same dark luxury mood, same anime-influenced portraiture.
the difference is in the details: cyan-blue eyes (X brand colour), a parasol-mandala halo with integrated X motifs, and a cooler, more signal-driven presence. she looks like someone who is already reading the next conversation before you've finished the current one.
her colour on the dashboard is #1D9BF0 — X blue. tokens she discovers from X are tagged with a "via 𝕏" badge in the scanner view.
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cost and performance
grok agent uses grok-4-1-fast-non-reasoning, xAI's fastest model. input tokens cost $0.20 per million. X Search costs $5 per 1,000 calls. with a 2-minute cache on discovery and batched analysis calls, a single active grok agent costs roughly $12-15 per day.
she runs in paper trading mode by default, same as every other agent. the risk parameters mirror Sienna's proven configuration: $10K-$50M market cap range, 0.14 minimum composite score, adaptive trailing stops, 25% partial take-profit at +80%, daily loss kill switch at 15%.
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what makes her different
every other agent in Parasol looks at the same market data from the same angle. they disagree on strategy — Claudia enters early, Yuki watches whale pressure, Luna scalps — but they all start from the same data sources.
grok agent adds a new dimension. she sees what people are saying, not just what the charts show. in a market driven by narrative and attention, that's a meaningful edge.
she doesn't replace the other agents. she complements them. run her alongside Sienna and you get both angles: quantitative signals from on-chain data, and qualitative signals from social conversation. the same token showing up in both pipelines independently is a stronger conviction signal than either one alone.
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grok agent is available now. create an agent → select grok agent → start scanning X.