402.bot | Recipes and token-efficient x402 workflows for AI agents
Decodes EVM function signatures and provides normalized crypto narrative clusters for efficient AI agent analysis.
Trust signal
4 of 4 pillars
coverage 100%
Pillars
Signals
Evidence tiers, not an endorsement · trust model v0.1.0 (provisional) · CDP-lane settlement only (D3) · Trust API coming soon
On-chain traction
ERC-8004 agent registry
Not found in the ERC-8004 agent registry. This is the default state — absence is not a negative signal.
Identity & classification
Settlement volume
USDC settled on-chain · monthly
as of Jul 12, 2026
Endpoints(139)
Showing 100 of 139 endpoints · sorted by price
Social X Delete: delete a single X or Twitter post through twit.sh with caller-supplied cookies. Useful for tweet deletion, moderation workflows, and social cleanup automations. Token-efficient execution surface for agents: returns compact structured output instead of raw upstream payloads.
Social X Write: create, reply to, or quote X and Twitter posts through twit.sh with caller-supplied cookies. Useful for agent posting, replies, quote tweets, social automations, and operator-assisted publishing. Token-efficient execution surface for agents: returns compact structured output instead of raw upstream payloads.
Allium Wallet Labels: Return grouped wallet label summaries and associated counterparties for one Base wallet. Useful for address labeling, entity hints, wallet investigations, and enrichment workflows. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Transactions Raw: Proxy raw Base wallet transfers through 402.bot with normalized transaction rows. Useful for wallet backfills, transaction exports, transfer analysis, and Base activity review. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
4byte Signature Lookup: Resolve an EVM selector into candidate function signatures from 4byte.directory. Useful for selector decoding, calldata inspection, ABI triage, and contract reverse engineering. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari Stablecoins: List stablecoin market snapshots from Messari with flat machine-friendly fields. Useful for stablecoin scoreboards, market-share snapshots, treasury monitoring, and payments research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Fetch-Transform: fetch live selector, contract, weather, website, or search data and normalize it into structured output. Useful for 4byte selectors, WhatsABI contracts, website extraction, OpenWeather lookups, and search research pipelines. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh Tweet Lookup: Look up a single X post by id and normalize the tweet payload into stable fields. Useful for post inspection, receipt capture, moderation review, and citation-safe social research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh User Lookup: Look up an X account by username and normalize the profile payload. Useful for profile enrichment, handle verification, account research, and creator lookups. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Labels: Materialize Allium-backed wallet label summaries grouped by frequency and associated counterparties. Useful for label enrichment, entity hints, wallet investigations, and address annotation workflows. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Transactions Raw: Materialize Allium-backed Base wallet transfers with normalized transaction rows and labels. Useful for wallet trace exports, transaction backfills, Base activity analysis, and raw transfer review. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Materialize: generate always-hot wallet, contract-event, token-flow, and provider state artifacts on Base. Useful for wallet intelligence, provider monitoring, contract state snapshots, and token-flow analysis. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Wallet Activity Delta: Materialize recent Base wallet transfers with opaque delta cursors for repeated polling. Useful for wallet monitoring, transfer alerts, agent watchlists, and repeated polling workflows. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Format Alchemist: normalize messy upstream payloads into canonical JSON, CSV, or SQLite-ready artifacts. Useful for JSON cleanup, schema normalization, structured extraction, and compact agent-ready outputs. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Labels Brief: Summarize the most common Allium-backed labels attached to recent wallet activity. Generate a short label-centric brief from Allium-backed Base wallet activity, including label highlights and notable counterparties. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Bankr Chain Balance Snapshot: Return a simple one-chain Bankr token snapshot without Gemini summarization. Use Bankr balances to emit a flat Base token snapshot with address, total USD, and token rows for downstream automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Bankr Prompt Probe Report: Probe the Bankr prompt lane without paying and return raw transport diagnostics. Use the Bankr prompt probe to inspect transport status, headers, and response body before attempting a paid Bankr prompt flow. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari Asset Snapshot: Return a flat machine-friendly Messari asset snapshot without the heavier research brief steps. Use the Messari asset-details source to emit a compact fundamentals snapshot for one asset with no internal AI synthesis. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari News Wire: Return a compact Messari crypto-news wire for one asset without long-form summarization. Use the Messari news-feed source to flatten recent asset-linked coverage into a concise machine-friendly wire format. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari Stablecoin Scoreboard: Return a compact stablecoin scoreboard from Messari without spending tokens on narrative synthesis. Use the Messari stablecoins source to flatten the leading stablecoin market snapshots for dashboards and automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari Unlock Watch: Return the upcoming Messari unlock schedule for one asset in a flat monitoring-friendly shape. Use the Messari token-unlocks source to flatten a bounded unlock schedule for one asset without running AI synthesis. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Polymarket PnL Scorecard: Return a flat machine-friendly Polymarket PnL scorecard for one wallet. Use the public Polymarket analytics payload and normalize the core scorecard fields for downstream automation without Gemini summarization. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Selector Candidate Pack: Normalize candidate function signatures for one EVM selector into a machine-friendly shortlist. Use 4byte lookup output and a deterministic transform step to return a clean shortlist of candidate signatures for a selector. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Weather Ops Trigger: Normalize current weather for a location into a flattened, ops-friendly decision payload. Fetch current weather and timezone context from Open-Meteo and flatten it into a clean operational payload suitable for simple alerting or scheduling logic. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Provider Scorecard: Return a machine-friendly scorecard for Zapper's provider readiness and observed onchain/payment signals. Flatten the fixed Zapper provider-state bundle into a scorecard with readiness counts, payment totals, and onchain evidence for automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Token Price Snapshot: Return a flat machine-friendly snapshot of one Base token's Zapper market data without Gemini summarization. Use the internal Zapper token-price source on Base to emit a simple machine-friendly market snapshot for downstream automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Wallet Balance Snapshot: Return a flat machine-friendly snapshot of one Base wallet's Zapper token balances without Gemini summarization. Use the internal Zapper wallet-balance source on Base to emit a simple snapshot of visible token balances for downstream automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Allium Wallet Balances Raw: Proxy raw Base wallet balances through 402.bot with normalized token metadata. Useful for balance snapshots, token inventory exports, treasury views, and portfolio audits. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Counterparties: Return aggregated inbound, outbound, and mixed counterparty summaries for a Base wallet. Useful for wallet clustering, relationship mapping, counterparty analysis, and investigations. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Clusters: List AIXBT narrative and project clusters with stable normalized fields. Useful for narrative mapping, sector discovery, cluster overviews, and theme-based crypto research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Momentum History: Fetch recent AIXBT momentum history for one project and normalize the trend window. Useful for trend analysis, momentum charts, watchlist reviews, and project performance tracking. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Project Detail: Resolve one AIXBT project into a detailed profile with scores, links, and narrative context. Useful for project dossiers, token diligence, creator research, and AI-agent market overviews. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Project Search: Search AIXBT projects with bounded text plus allowlisted score and identity filters. Useful for project discovery, thesis screening, watchlist building, and topic-based crypto research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Projects: List AIXBT-scored projects with ranking, popularity, and crypto narrative metadata. Useful for crypto project discovery, AI-agent market scans, leaderboard views, and early-stage research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
AIXBT Signals: List recent AIXBT signals and optionally scope them to one resolved project. Useful for momentum tracking, catalyst monitoring, watchlists, and crypto project briefings. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Dune Dataset Search: Search Dune's public dataset catalog for relevant onchain tables and views. Useful for analytics planning, schema discovery, and onchain research setup. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Dune Table Schema: Resolve Dune tables into stable column-level schema metadata. Useful for SQL planning, query validation, dataset inspection, and analytics agents. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Google Gemini Flash Research Extract: Answer a bounded question against supplied evidence excerpts and return cited findings only from that evidence. Useful for cited research briefs, evidence extraction, due diligence, and operator answers that stay grounded in source text. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Google Gemini Flash Structured Output: Turn a prompt plus JSON context into schema-constrained structured output through Gemini Flash. Useful for grounded extraction, classification, validation, brief generation, and compact operator-ready JSON. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari Asset Details: Fetch a bounded crypto asset profile with fundamentals, taxonomy, and summary context. Useful for token research, market briefs, crypto diligence, and asset overview agents. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari Asset Timeseries: Fetch a bounded Messari metric window and normalize it into asset timeseries points. Useful for token charts, metric tracking, market briefs, and time-windowed crypto analysis. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari Funding Rounds: List recent Messari fundraising rounds and normalize the round metadata into compact records. Useful for startup tracking, venture market scans, funding digests, and crypto ecosystem research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari Token Unlocks: Fetch upcoming token unlock events for one asset and normalize the release schedule. Useful for unlock watchlists, supply overhang analysis, token calendars, and market-risk briefs. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari X User Details: Fetch one Messari X-user profile with stable normalized social and signal fields. Useful for creator dossiers, handle research, social scorecards, and analyst watchlists. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari X Users Timeseries: Fetch bounded daily Messari X-user signal timeseries for one or more accounts. Useful for mindshare trends, social performance charts, creator monitoring, and campaign analysis. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari X Users: List Messari X-user signal profiles for leaderboard, account ranking, and automation workflows. Useful for social leaderboards, creator monitoring, mindshare scans, and crypto-X research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
OpenWeather Current: Fetch current weather conditions and normalize them into compact agent-ready output. Useful for travel planning, logistics agents, weather briefings, and weather-triggered ops. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
StableEnrich Apollo Org Search: Search organizations through StableEnrich with allowlisted Apollo filters. Useful for provider research, company discovery, prospecting, and B2B enrichment workflows. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
StableEnrich Exa Answer: Generate a grounded answer with citations through StableEnrich's Exa-backed answer lane. Useful for quick factual answers, cited research, and concise synthesis agents. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
StableEnrich Exa Search: Run grounded Exa web searches and normalize the result set for downstream agents. Useful for web research, source collection, discovery workflows, and cited answers. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
StableEnrich Firecrawl Scrape: Scrape a webpage through StableEnrich and return normalized content artifacts. Useful for website extraction, docs ingestion, due diligence, and page summarization pipelines. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
StableEnrich Grok X Search: Search X and Twitter posts through StableEnrich with a strict query-only interface. Useful for social monitoring, trend search, X research, and realtime topic scans. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh Conversation Lookup: Fetch a root tweet plus the first page of replies in one normalized conversation payload. Useful for thread review, reply-tree analysis, customer support triage, and social audits. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh Quote Tweets: Fetch quote tweets for a post and normalize the quote list with continuation support. Useful for virality tracking, quote monitoring, reaction analysis, and campaign measurement. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh Tweet Replies: Fetch replies to a tweet and normalize the reply list with continuation support. Useful for conversation monitoring, community analysis, moderation review, and support workflows. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh Tweet Search: Search X posts with bounded operators and return compact normalized result sets. Useful for topic monitoring, trend scans, social listening, and realtime market chatter. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
twit.sh User Timeline: Fetch a user's recent X timeline and normalize the tweet list with continuation support. Useful for account monitoring, feed review, creator summaries, and social research agents. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Balances Raw: Materialize Allium-backed Base wallet balances with normalized token metadata and raw amounts. Useful for balance exports, token inventory snapshots, treasury monitoring, and Base portfolio audits. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Counterparties: Materialize aggregated inbound, outbound, and mixed counterparty summaries for one Base wallet. Useful for wallet clustering, counterparty mapping, relationship analysis, and fraud review. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Base Wallet USDC Forensics: Materialize USDC funder, sink, counterparty, and recent activity summaries for one Base wallet. Useful for wallet due diligence, treasury investigations, funding-source analysis, and stablecoin tracing. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Contract Event Window: Materialize recent Base contract logs with topic filters and structured event rows. Useful for contract monitoring, event exports, protocol ops, and onchain debugging. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Endpoint Or Provider State Bundle: Materialize a single JSON bundle with endpoint or provider trust, payment, probe, and onchain evidence. Useful for provider diligence, endpoint reviews, readiness checks, and monitoring bundles. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Token Flow Snapshot: Materialize recent Base token transfer flow with treasury and concentration summaries. Useful for treasury flow monitoring, whale tracking, token diligence, and market surveillance. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Wallet Portfolio: Materialize Base token balances, token metadata, and recent balance changes. Useful for portfolio snapshots, treasury monitoring, balance tracking, and wallet intelligence. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Allium Wallet Activity Brief: Turn Allium-backed wallet transactions into a short recent-activity brief. Use Allium-backed wallet transactions to summarize recent movement, repeated counterparties, and practical next actions for one Base wallet. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Allium Wallet Balance Brief: Summarize one Base wallet's Allium-backed balance state into a short operator brief. Use Allium-backed wallet balances to produce a concise holdings and concentration brief for one Base wallet. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Allium Wallet Counterparty Brief: Summarize the top Allium-backed counterparties for one Base wallet. Generate a short counterparty brief from Allium-backed Base wallet activity with emphasis on repeated relationships and operator risk notes. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Bankr Base Balance Brief: Summarize Bankr-reported Base balances with top tokens, concentration, and watch items. Use Bankr balances on Base as the factual input for a concise operator treasury brief focused on token concentration and watch items. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Bankr Profile Brief: Summarize the configured Bankr operator profile, linked wallets, socials, and Bankr Club state. Pull the configured Bankr profile and turn it into a concise operator identity brief with linked-wallet and social-account context. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Base Wallet USDC Forensics: Pull the Heurist-backed Base wallet USDC forensics bundle on the existing materialization surface. Return the raw public Heurist-backed wallet forensics payload for a Base wallet, including top funders, sinks, counterparties, and daily USDC activity. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Contract Admin Surface Brief: Inspect a Base contract ABI for admin, pause, mint, burn, and upgrade-style control surfaces. Use WhatsABI output to summarize privileged functions, likely administrative capabilities, and practical operational review notes. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Contract Proxy Brief: Inspect a Base contract for proxy and implementation hints using WhatsABI output. Generate a proxy-focused contract brief that summarizes implementation hints, upgrade model clues, and practical review notes. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Contract Quickstart Pack: Inspect a Base contract and turn ABI plus proxy metadata into an integration starter brief. Bundle ABI recovery and contract metadata into a concise pack for developers integrating or reviewing a Base contract. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari Asset Pulse Brief: Combine Messari fundamentals, recent price history, and news into a lighter-weight brief than the full intel recipe. Use Messari asset details, bounded timeseries, and recent news to produce a concise pulse brief without the extra Messari AI synthesis step. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari Funding Rounds Digest: Return a flat Messari fundraising digest for downstream monitoring and triage. Use the Messari funding-rounds source to flatten recent fundraising rounds without escalating into a longer research workflow. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari X User Leaderboard: Return a bounded Messari X-user leaderboard in a machine-friendly shape that avoids extra summarization tokens. Use the Messari X-users source to flatten the top signal accounts for leaderboard, ranking, and watchlist automation. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Messari X User Scorecard: Combine one Messari X-user profile with recent daily signal history into a compact scorecard. Use Messari X-user details plus daily timeseries to summarize one account's signal posture without paying for the full asset-intel workflow. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Polymarket Activity Digest: Turn recent Polymarket activity into a short digest with buy/sell bias and watch items. Use the public Polymarket analytics surface to summarize recent trade flow, directional bias, notable markets, and follow-ups for one wallet. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Polymarket Closed Trades Review: Summarize a wallet's closed Polymarket trades into a compact review memo. Use the public Polymarket analytics payload to review recent closed trades, strongest outcomes, weakest outcomes, and repeatable patterns. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Polymarket Open Positions Brief: Summarize a wallet's open Polymarket positions, concentration, and exit watch items. Use the public Polymarket analytics surface to turn one wallet's open positions into a concise exposure brief for operator review. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Prediction Market Thread Brief: Summarize one prediction-market thread, its replies, and quote-tweet reaction patterns. Pull a thread root, first-page replies, and quote tweets into one structured summary focused on bullish and bearish themes in prediction-market discussion. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Provider Payment Readiness Brief: Summarize payment readiness and x402 launch posture for one provider or endpoint subject. Generate a concise payment-readiness brief from the 402.bot provider or endpoint state bundle with an emphasis on x402 launch posture. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Selector Security Brief: Turn one EVM selector into a short security-oriented interpretation with ambiguity warnings. Resolve a selector through 4byte and generate a review brief focused on likely semantics, ambiguity, and privileged-action clues. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Treasury Risk Watch: Track treasury wallet exposure and recent movement for a single Base wallet. Produce a treasury-oriented risk brief from portfolio composition and recent wallet activity focused on the supplied wallet address. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Wallet Activity Digest: Convert recent Base wallet activity into a short chronological digest with alert-style signals. Use recent wallet transfers to produce a concise activity digest, highlighting movement spikes, fresh activity, and recommended review actions. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Wallet Allocation Brief: Turn a Base wallet portfolio into an allocation brief with concentration and stability signals. Analyze Base wallet holdings with a portfolio-first view focused on concentration, stablecoin share, and visible allocation flags. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Wallet Counterparty Map: Map the top inbound and outbound counterparties for a Base wallet over a bounded recent window. Use recent wallet activity to surface repeated counterparties, directional flow patterns, and practical follow-up checks. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Wallet Stablecoin Liquidity Brief: Assess a Base wallet's stablecoin posture and liquidity mix from portfolio state alone. Generate a stablecoin and liquidity brief that separates liquid core assets from tail exposure and highlights operational watch items. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Weather Disruption Brief: Blend current weather, web context, and social chatter into one operational disruption brief. Use OpenWeather plus bounded web and social search results to summarize potential operational disruption for a location and topic. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
X Thread Brief: Summarize a thread, its replies, and quote-tweet themes from one X post id. Pull a thread root, first-page replies, and quote tweets into one structured social summary for operators or researchers. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Endpoint Catalog Brief: Summarize the fixed Zapper provider's matched endpoints, trust posture, and likely best-use roles. Use the fixed Zapper provider-state bundle to produce an endpoint catalog brief with matched endpoints, trust posture, and practical roles. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Payment Signal Watch: Summarize Zapper's observed paid-endpoint signals, promoted endpoints, and monitoring priorities. Use the fixed Zapper provider-state bundle to summarize observed payment signals, promoted endpoints, and watch items for ongoing monitoring. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Provider Overview Brief: Summarize Zapper's fixed provider profile, docs host, readiness state, and current payment posture. Use the fixed Zapper provider-state bundle to generate a concise provider overview covering identity, docs, readiness, and payment posture. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Token Price Brief: Summarize one Base token's Zapper price, liquidity, and momentum signals into a concise market brief. Use the internal Zapper token-price source on Base to summarize price, liquidity, and short-horizon momentum for one token. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
Zapper Wallet Balance Brief: Summarize one Base wallet's Zapper-reported token balances into a concise holdings and concentration brief. Use the internal Zapper wallet-balance source on Base to produce a concise holdings, concentration, and watch-items brief for one wallet. Deterministic recipe run that avoids repeated scraping, cleanup, and prompt packing.
AIXBT Projects Compare: Compare two to five AIXBT projects across project detail, signals, and momentum history. Useful for competitive analysis, shortlist comparisons, investment memos, and crypto project ranking debates. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Cloudflare Crawl: Crawl a website through Cloudflare Browser Rendering and normalize the result into a capped crawl summary. Useful for docs discovery, site mapping, content inventories, due diligence, and website research pipelines. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Dune Run SQL: Execute bounded read-only DuneSQL and return normalized result artifacts. Useful for onchain analytics, ad hoc SQL, market briefs, and data-backed research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
Messari News Feed: Fetch recent Messari crypto news with stable normalized fields and optional asset filters. Useful for asset news monitoring, market briefs, event watchlists, and crypto research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.
WhatsABI Contract ABI: Inspect a Base contract with WhatsABI and recover proxy-aware ABI hints. Useful for ABI recovery, proxy inspection, contract debugging, and onchain research. Pre-normalized output that saves agents 80-95% of LLM context tokens versus raw fetch + parse pipelines.