15 Services from token-intel-72343955726.us-central1.run.app

Fetches a web page or document URL and distills it into compressed, agent-ready markdown, stripping noise and returning only semantically rich content with token-efficiency metrics.

Fetches a URL or search result page and distills its content into compressed, agent-ready markdown, dramatically reducing token consumption while preserving key information.

Fetches and distills SEC filing intelligence into clean, agent-ready markdown, reducing token overhead by up to 95%

Performs open-source intelligence (OSINT) gathering on a domain, returning structured information about domain ownership, registration, infrastructure, and associated signals.

Verifies whether an email address is valid, deliverable, and safe to use for outreach or communication.

Audits a GitHub repository and returns a distilled, agent-ready markdown summary of its code, structure, activity, and risk signals

Fetches and distills arXiv research paper content into compressed, agent-ready markdown by stripping tokens and summarizing key information.

Fetches and distills intelligence about a Shopify store into compressed, agent-ready markdown, surfacing competitive product, pricing, and storefront data.

Fetches and distills web content or JSON into clean, compressed, agent-ready markdown with token-efficiency metrics

Retrieves on-chain risk analysis for a given crypto token or address, returning structured risk signals via a metered HTTP 402 micropayment API

Returns an agent-ready audited summary of what capabilities are exposed at this x402-enabled B2A API hub, including distillation stats and service metadata.

Fetches and distills web content (e.g. LLM documentation pages) into compressed, agent-ready markdown, while also providing a multi-capability B2A hub covering on-chain risk, DEX token intelligence, lead enrichment, domain OSINT, email verification, SEC filings, GitHub audits, and prompt firewall checks.

Fetches distilled, agent-ready token intelligence data from DEX markets with on-chain risk signals, returning compressed markdown optimized for LLM consumption.

Enriches a company by domain or name, returning structured B2B lead intelligence including firmographic data and contact signals

Screens and validates AI prompts for safety, policy compliance, or injection risks before they are passed to downstream LLMs or agent pipelines.