Buero LIVE ON-CHAIN Base x402 Runs a structured synthetic-persona critique through Groq using the configured model. The persona is treated as a hypothesis, never as a factual claim about every member of a demographic group; the response must state its assumptions and avoid sensitive-trait stereotyping. Input leaves this server for Groq and is not stored by HALOWERK. This is qualitative simulation, not user research, survey evidence or proof of conversion impact.
Last updated 6h ago
Overview Protocol x402
Facilitator —
Payment asset USD Coin
Network base
Category llm-inference
Source bazaar
Health Status Operational
Uptime (window) 100%
Success rate —
Confidence 100%
Quotes (14d) 36
Last checked 9/19/2026, 3:05:53 PM
Wallets On-chain payment destinations for this service, with each wallet’s current USDC balance. Click an address to view it on the block explorer.
Latest x402 transactions On-chain USDC settlements received on Base · 0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E · balance $2.55 USDC
Trust score is global for the provider. Latency, price and uptime are measured per endpoint (last 24h). Click a column to sort.
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▸ GET /v1/persona-evalx402 ! Unstable
Runs a structured synthetic-persona critique through Groq using the configured model. The persona is treated as a hypothesis, never as a factual claim about every member of a demographic group; the response must state its assumptions and avoid sensitive-trait stereotyping. Input leaves this server for Groq and is not stored by HALOWERK. This is qualitative simulation, not user research, survey evidence or proof of conversion impact. $0.012 · 31 ms · Base ▸ GET /v1/doc-mergex402 ! Unstable
Takes three documents — the common base and the two versions derived from it — as text, public URLs or inline base64, reads PDF, DOCX, ODT, HTML and Markdown, and returns one merged document. The procedure is diff3 over paragraphs, or over lines if you ask for that: each version is first compared against the base with a Myers shortest-edit-script, the two comparisons together yield the passages that are identical in all three, and each region between them is resolved by rule. $0.004 · 15 ms · Base ▸ GET /v1/entity-graphx402 ! Unstable
Takes a text as text, a public URL or inline base64 — PDF, DOCX, ODT, HTML and Markdown are read — and returns it as a graph: the people, organisations, places, products, documents and events it names, and the relations it states between them. Every relation carries the sentence it came from word for word, plus the character offset and line where that sentence stands, and each of those quotes is looked up in the source text before the answer goes out: an exact match, or a match after whitespace… $0.004 · 12 ms · Base ▸ GET /v1/processing-recordx402 ! Unstable
Takes an inventory — the controller, and one entry per processing activity with its purposes, the stated legal basis, the categories of data subjects and of personal data, the categories of recipients, any third-country transfers, the erasure periods and the security measures — and returns it laid out as a draft record of processing activities under Article 30(1) GDPR. $0.004 · 40 ms · Base Same category, ranked by Trust score — switch to a more reliable or cheaper source.
