--- schema: "interfacedelta-service-md/1" target_key: "sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d" origin: "https://gateway.pipeworx.io" protocols: ["mcp"] observed_at: "2026-11-12T13:04:41.953Z" generated_at: "2026-11-13T00:48:40.302Z" record_url: "https://interfacedelta.com/atlas/sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d" record_api: "https://interfacedelta.com/api/v1/record/services/sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d" source: "InterfaceDelta atlas" license_note: "Use of this record is governed by https://interfacedelta.com/terms." --- # Service record: https://gateway.pipeworx.io ## Identity - Origin: https://gateway.pipeworx.io - Endpoints: https://gateway.pipeworx.io/hunter/mcp - Protocols: mcp - Registry names: io.github.pipeworx-io/hunter - First retained observation: 2026-11-12T13:04:41.953Z - Latest observation: 2026-11-12T13:04:41.953Z ## Tools - Tool 1: ai\_visibility\_check (mcp); inputs: context, entity, models; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 2: archive\_compare (mcp); inputs: date\_a, date\_b, max\_gap\_days, url; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 3: archive\_evidence (mcp); inputs: date, max\_chars, max\_gap\_days, url; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 4: ask\_pipeworx (mcp); inputs: ask, input, message, packs, prompt, q, query, question; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 5: ask\_pipeworx\_beta (mcp); inputs: ask, input, message, packs, prompt, q, query, question; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 6: ask\_pipeworx\_grounded (mcp); inputs: ask, input, message, prefer\_tool, prompt, q, query, question; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 7: bet\_research (mcp); inputs: depth, include\_raw, market; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 8: classify\_row (mcp); inputs: entity, labels, text; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 9: company\_facts (mcp); inputs: as\_of, attribute, basis, company, exclude\_publishers, freshness, max\_age, period; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 10: company\_register\_search (mcp); inputs: country, limit, name; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 11: compare\_entities (mcp); inputs: type, values; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 12: deep\_research (mcp); inputs: ask, depth, input, message, prompt, q, query, question; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 13: discover\_tools (mcp); inputs: description, limit, q, query, search, task; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":false} - Tool 14: domain\_search (mcp); inputs: department, domain, limit, type; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 15: email\_finder (mcp); inputs: domain, first\_name, last\_name; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 16: email\_verifier (mcp); inputs: email; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 17: entity\_profile (mcp); inputs: country, type, value; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 18: forget (mcp); inputs: k, key, label, name; inputs omitted: 0; annotations: {"readOnlyHint":false,"destructiveHint":true,"idempotentHint":true,"openWorldHint":false} - Tool 19: generate\_llms\_txt (mcp); inputs: max\_links, url; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 20: kalshi\_weather\_edge (mcp); inputs: backtest\_days, city, date, market\_type, series\_ticker; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 21: list\_subscriptions (mcp); inputs: include\_inactive; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 22: pipeworx\_feedback (mcp); inputs: claim\_token, context, message, type; inputs omitted: 0; annotations: {"readOnlyHint":false,"destructiveHint":false,"idempotentHint":false,"openWorldHint":false} - Tool 23: pipeworx\_trending (mcp); inputs: window; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 24: polymarket\_arbitrage (mcp); inputs: event, topic; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 25: polymarket\_edge\_tracker (mcp); inputs: days, window; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 26: polymarket\_edges (mcp); inputs: category\_filter, limit, max\_spread\_pp, min\_edge\_pp, min\_kelly, min\_liquidity, min\_partition\_leg\_kelly, slippage\_pp; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 27: polymarket\_fill\_risk (mcp); inputs: event, market, side, size\_usd; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 28: polymarket\_kalshi\_spread (mcp); inputs: kalshi\_event\_ticker, polymarket\_event\_slug, topic; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 29: prediction\_calibration (mcp); inputs: asset, bucket\_pp, horizon, minute, side\_convention, venue; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 30: recall (mcp); inputs: k, key, label, name; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":false} - Tool 31: recent\_alerts (mcp); inputs: limit, mark\_read, since, type, unread\_only; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 32: recent\_changes (mcp); inputs: since, type, value; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 33: release\_calendar\_markets (mcp); inputs: categories, hours; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 34: remember (mcp); inputs: content, data, k, key, label, name, text, v; inputs omitted: 1; annotations: {"readOnlyHint":false,"destructiveHint":false,"idempotentHint":true,"openWorldHint":false} - Tool 35: research\_row (mcp); inputs: entity, max\_cost, output\_schema, question, sources; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 36: resolution\_audit (mcp); inputs: market, venue; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 37: resolution\_diff (mcp); inputs: a, b; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 38: resolve\_entity (mcp); inputs: country, type, value; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 39: scan\_competitor\_ai\_presence (mcp); inputs: context, entities, models; inputs omitted: 1; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 40: scan\_dependency (mcp); inputs: package, version; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 41: search\_within (mcp); inputs: limit, query, text; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 42: subscribe (mcp); inputs: delivery, params, type; inputs omitted: 0; annotations: {"readOnlyHint":false,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 43: suggest\_questions (mcp); inputs: topic; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 44: unsubscribe (mcp); inputs: id; inputs omitted: 0; annotations: {"readOnlyHint":false,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 45: updown\_divergence\_rate (mcp); inputs: asset, days; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 46: updown\_venue\_compare (mcp); inputs: asset, horizon, window; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} - Tool 47: validate\_claim (mcp); inputs: claim, tolerance\_pct; inputs omitted: 0; annotations: {"readOnlyHint":true,"destructiveHint":false,"idempotentHint":true,"openWorldHint":true} Tools omitted: 0. ## Effect readings (AI) - Tool 1 purpose: ◇ AI reading; Assesses how visible a business, brand or topic is to one or more LLMs, returning a 0-100 score per model.; lens: tool-purpose-v1; model: not recorded. - Tool 2 purpose: ◇ AI reading; Returns a text diff of a web page between its archived captures nearest two dates, with a similarity score and capture gaps.; lens: tool-purpose-v1; model: not recorded. - Tool 3 purpose: ◇ AI reading; Retrieves the readable text of a web page's archived capture nearest a given date, with capture time and day gap to the request.; lens: tool-purpose-v1; model: not recorded. - Tool 4 purpose: ◇ AI reading; Returns sourced answers to factual questions about real-world data by routing each query to a matching structured data source.; lens: tool-purpose-v1; model: not recorded. - Tool 5 purpose: ◇ AI reading; Returns answers to a natural-language question by routing it to one of many underlying data tools.; lens: tool-purpose-v1; model: not recorded. - Tool 6 purpose: ◇ AI reading; Returns a sourced answer to a natural-language question, quoting supporting evidence or refusing when the fetched data does not answer it.; lens: tool-purpose-v1; model: not recorded. - Tool 7 (bet\_research): ◇ AI reading; state: counted; reads (confidence 0.85); lens: side-effects@1; model: claude-haiku-5.5. - Tool 7 purpose: ◇ AI reading; Returns an evidence packet and market-vs-model edge comparison for a Polymarket bet, given a market slug, URL, or question.; lens: tool-purpose-v1; model: not recorded. - Tool 8 purpose: ◇ AI reading; Assesses which candidate labels apply to a company, using supplied text or its homepage, with a verified quote as evidence for each.; lens: tool-purpose-v1; model: not recorded. - Tool 9 (company\_facts): ◇ AI reading; state: counted; reads (confidence 0.86); lens: side-effects@1; model: claude-haiku-5.5. - Tool 9 purpose: ◇ AI reading; Returns one financial metric for a US listed firm's specified fiscal period, with its source filing and derivation flag.; lens: tool-purpose-v1; model: not recorded. - Tool 10 (company\_register\_search): ◇ AI reading; state: counted; reads (confidence 0.82); lens: side-effects@1; model: claude-haiku-5.5. - Tool 10 purpose: ◇ AI reading; Returns official registered company matches from national business registers by name, with each register's ID and as-of date.; lens: tool-purpose-v1; model: not recorded. - Tool 11 (compare\_entities): ◇ AI reading; state: counted; reads (confidence 0.88); lens: side-effects@1; model: claude-haiku-5.5. - Tool 12 (deep\_research): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 12 purpose: ◇ AI reading; Returns a cited findings packet answering multi-part questions by querying many structured data sources in parallel.; lens: tool-purpose-v1; model: not recorded. - Tool 13 purpose: ◇ AI reading; Returns the most relevant tools for a described data or task, with names, descriptions and input schemas.; lens: tool-purpose-v1; model: not recorded. - Tool 14 (domain\_search): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 14 purpose: ◇ AI reading; Returns work email contacts for a given domain, with names, job titles, departments, confidence scores and the address pattern.; lens: tool-purpose-v1; model: not recorded. - Tool 16 purpose: ◇ AI reading; Verifies whether an email address is deliverable and flags disposable or webmail addresses, returning a status and confidence score.; lens: tool-purpose-v1; model: not recorded. - Tool 17 purpose: ◇ AI reading; Summarizes a US public company's filings, financials, patents, federal contracts, hiring and news into one profile.; lens: tool-purpose-v1; model: not recorded. - Tool 18 (forget): ◇ AI reading; state: counted; deletes (confidence 0.895); lens: side-effects@1; model: claude-haiku-5.5. - Tool 18 purpose: ◇ AI reading; Deletes a saved memory entry identified by its key, permanently removing it from the agent's storage.; lens: tool-purpose-v1; model: not recorded. - Tool 20 (kalshi\_weather\_edge): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 21 (list\_subscriptions): ◇ AI reading; state: counted; reads (confidence 0.88); lens: side-effects@1; model: claude-haiku-5.5. - Tool 21 purpose: ◇ AI reading; Lists your active subscriptions with their ids, types, timestamps and fire counts, optionally including inactive ones.; lens: tool-purpose-v1; model: not recorded. - Tool 22 purpose: ◇ AI reading; Creates a feedback report on a bug, data gap, feature request or praise for a tool, or checks a prior report by claim token.; lens: tool-purpose-v1; model: not recorded. - Tool 23 (pipeworx\_trending): ◇ AI reading; state: counted; reads (confidence 0.9); lens: side-effects@1; model: claude-haiku-5.5. - Tool 23 purpose: ◇ AI reading; Returns the most-called tools and packs by AI agents over a 24h, 7d, or 30d window, plus total call volume.; lens: tool-purpose-v1; model: not recorded. - Tool 24 purpose: ◇ AI reading; Checks Polymarket prediction markets for mispriced arbitrage gaps across trending markets, one event, or a topic, net of taker fees.; lens: tool-purpose-v1; model: not recorded. - Tool 25 (polymarket\_edge\_tracker): ◇ AI reading; state: counted; reads (confidence 0.85); lens: side-effects@1; model: claude-haiku-5.5. - Tool 25 purpose: ◇ AI reading; Reports how long each prediction-market edge has persisted and whether it is widening, stable or decaying, plus recently expired edges.; lens: tool-purpose-v1; model: not recorded. - Tool 26 purpose: ◇ AI reading; Returns prediction-market bets where model estimates diverge from current prices, with net edge, Kelly sizing and liquidity data.; lens: tool-purpose-v1; model: not recorded. - Tool 27 purpose: ◇ AI reading; Assesses Polymarket trades against live order-book depth, netting slippage and taker fees into realizable edge and breakeven win rates.; lens: tool-purpose-v1; model: not recorded. - Tool 29 (prediction\_calibration): ◇ AI reading; state: counted; reads (confidence 0.86); lens: side-effects@1; model: claude-haiku-5.5. - Tool 29 purpose: ◇ AI reading; Returns realized win rates versus shown prices for settled short-horizon crypto up/down windows, by minute elapsed and venue.; lens: tool-purpose-v1; model: not recorded. - Tool 30 (recall): ◇ AI reading; state: counted; reads (confidence 0.9); lens: side-effects@1; model: claude-haiku-5.5. - Tool 30 purpose: ◇ AI reading; Returns a previously stored value by key, or lists all saved keys when no key is given.; lens: tool-purpose-v1; model: not recorded. - Tool 31 (recent\_alerts): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 31 purpose: ◇ AI reading; Returns recent alerts from your subscription feed, optionally filtered by type or time, and can mark returned alerts as read.; lens: tool-purpose-v1; model: not recorded. - Tool 32 (recent\_changes): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 32 purpose: ◇ AI reading; Returns recent SEC filings, news mentions and patent grants for a company over a chosen time window, grouped by source.; lens: tool-purpose-v1; model: not recorded. - Tool 33 (release\_calendar\_markets): ◇ AI reading; state: counted; reads (confidence 0.852); lens: side-effects@1; model: claude-haiku-5.5. - Tool 33 purpose: ◇ AI reading; Lists scheduled econ, Fed, FDA and SEC releases due within a time window, with any matching live prediction markets attached.; lens: tool-purpose-v1; model: not recorded. - Tool 34 purpose: ◇ AI reading; Adds a key-value memory entry for later recall; anonymous entries expire after 24 hours, while authenticated users keep them persistently.; lens: tool-purpose-v1; model: not recorded. - Tool 35 purpose: ◇ AI reading; Returns a per-company answer to a custom question, with each field backed by a verified quote from the company's website or SEC filings.; lens: tool-purpose-v1; model: not recorded. - Tool 36 purpose: ◇ AI reading; Reports a prediction market's settlement clause: settling source, timing, precision, comparison basis, evidence standard, and void handling.; lens: tool-purpose-v1; model: not recorded. - Tool 37 (resolution\_diff): ◇ AI reading; state: counted; reads (confidence 0.8); lens: side-effects@1; model: claude-haiku-5.5. - Tool 37 purpose: ◇ AI reading; Checks whether two prediction markets settle on the same terms by diffing source, settle time, precision and evidence rules.; lens: tool-purpose-v1; model: not recorded. - Tool 38 purpose: ◇ AI reading; Returns official identifiers such as ticker, CIK, LEI and FIGI for a company name or ISIN, or an RxCUI for a drug name.; lens: tool-purpose-v1; model: not recorded. - Tool 39 purpose: ◇ AI reading; Reports how well AI models recognize your brand versus competitors, ranking entities by score, confidence and signal density.; lens: tool-purpose-v1; model: not recorded. - Tool 40 purpose: ◇ AI reading; Checks an npm package's license, security advisories, release history, and bundle size before you add it to a project.; lens: tool-purpose-v1; model: not recorded. - Tool 42 (subscribe): ◇ AI reading; state: counted; creates (confidence 0.815); lens: side-effects@1; model: claude-haiku-5.5. - Tool 42 purpose: ◇ AI reading; Creates a monitoring subscription that alerts you when new SEC filings, trials, or market data match your filters.; lens: tool-purpose-v1; model: not recorded. - Tool 43 purpose: ◇ AI reading; Returns example questions grouped by category, each with the tool and arguments that answer it, optionally filtered by topic.; lens: tool-purpose-v1; model: not recorded. - Tool 44 (unsubscribe): ◇ AI reading; state: counted; deletes (confidence 0.85); lens: side-effects@1; model: claude-haiku-5.5. - Tool 44 purpose: ◇ AI reading; Cancels a subscription by its ID, deactivating it while keeping its past events available for later viewing.; lens: tool-purpose-v1; model: not recorded. - Tool 45 (updown\_divergence\_rate): ◇ AI reading; state: counted; reads (confidence 0.88); lens: side-effects@1; model: claude-haiku-5.5. - Tool 46 (updown\_venue\_compare): ◇ AI reading; state: counted; reads (confidence 0.86); lens: side-effects@1; model: claude-haiku-5.5. - Tool 46 purpose: ◇ AI reading; Shows the same 15-minute crypto up-or-down window priced across prediction markets, with whether each pair settles on the same contract.; lens: tool-purpose-v1; model: not recorded. - Tool 47 purpose: ◇ AI reading; Verifies a factual claim and returns a verdict with cited source values; company financials are checked against SEC filings.; lens: tool-purpose-v1; model: not recorded. ## Change history No changes recorded in the retained history. ## Payment rails - Protocols observed: none. - HTTP 402 seen in retained observations: false. ## Not covered - We don't call tools. - We don't rate or certify. - We don't publish prices. - We cover only what was observed. ## Evidence - Identity: observed / declared; observation time: 2026-11-12T13:04:41.953Z. - Tools: declared; observation time: 2026-11-12T13:04:41.953Z. - Effect readings (AI): AI reading; observation time: 2026-11-12T13:04:41.953Z. - Change history: observed; observation time: 2026-11-12T13:04:41.953Z; change observation times: none. - Payment rails: observed; observation time: 2026-11-12T13:04:41.953Z. ```json { "schema": "interfacedelta-service-md/1", "target_key": "sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d", "origin": "https://gateway.pipeworx.io", "protocols": [ "mcp" ], "observed_at": "2026-11-12T13:04:41.953Z", "generated_at": "2026-11-13T00:48:40.302Z", "record_url": "https://interfacedelta.com/atlas/sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d", "record_api": "https://interfacedelta.com/api/v1/record/services/sha256:08d7f48db4d0d1357f408766caca2bd7d521c969c8b92760ebeb669a0696f86d", "source": "InterfaceDelta atlas", "license_note": "Use of this record is governed by https://interfacedelta.com/terms.", "identity": { "origin": "https://gateway.pipeworx.io", "endpoints": [ "https://gateway.pipeworx.io/hunter/mcp" ], "protocols": [ "mcp" ], "registry_names": [ "io.github.pipeworx-io/hunter" ], "first_retained_observation": "2026-11-12T13:04:41.953Z", "latest_observation": "2026-11-12T13:04:41.953Z" }, "tools": [ { "name": "ai_visibility_check", "protocol": "mcp", "inputs": [ "context", "entity", "models" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Assesses how visible a business, brand or topic is to one or more LLMs, returning a 0-100 score per model.", "lens": "tool-purpose-v1", "model": null } }, { "name": "archive_compare", "protocol": "mcp", "inputs": [ "date_a", "date_b", "max_gap_days", "url" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns a text diff of a web page between its archived captures nearest two dates, with a similarity score and capture gaps.", "lens": "tool-purpose-v1", "model": null } }, { "name": "archive_evidence", "protocol": "mcp", "inputs": [ "date", "max_chars", "max_gap_days", "url" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Retrieves the readable text of a web page's archived capture nearest a given date, with capture time and day gap to the request.", "lens": "tool-purpose-v1", "model": null } }, { "name": "ask_pipeworx", "protocol": "mcp", "inputs": [ "ask", "input", "message", "packs", "prompt", "q", "query", "question" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns sourced answers to factual questions about real-world data by routing each query to a matching structured data source.", "lens": "tool-purpose-v1", "model": null } }, { "name": "ask_pipeworx_beta", "protocol": "mcp", "inputs": [ "ask", "input", "message", "packs", "prompt", "q", "query", "question" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns answers to a natural-language question by routing it to one of many underlying data tools.", "lens": "tool-purpose-v1", "model": null } }, { "name": "ask_pipeworx_grounded", "protocol": "mcp", "inputs": [ "ask", "input", "message", "prefer_tool", "prompt", "q", "query", "question" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns a sourced answer to a natural-language question, quoting supporting evidence or refusing when the fetched data does not answer it.", "lens": "tool-purpose-v1", "model": null } }, { "name": "bet_research", "protocol": "mcp", "inputs": [ "depth", "include_raw", "market" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.85 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns an evidence packet and market-vs-model edge comparison for a Polymarket bet, given a market slug, URL, or question.", "lens": "tool-purpose-v1", "model": null } }, { "name": "classify_row", "protocol": "mcp", "inputs": [ "entity", "labels", "text" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Assesses which candidate labels apply to a company, using supplied text or its homepage, with a verified quote as evidence for each.", "lens": "tool-purpose-v1", "model": null } }, { "name": "company_facts", "protocol": "mcp", "inputs": [ "as_of", "attribute", "basis", "company", "exclude_publishers", "freshness", "max_age", "period" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.86 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns one financial metric for a US listed firm's specified fiscal period, with its source filing and derivation flag.", "lens": "tool-purpose-v1", "model": null } }, { "name": "company_register_search", "protocol": "mcp", "inputs": [ "country", "limit", "name" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.82 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns official registered company matches from national business registers by name, with each register's ID and as-of date.", "lens": "tool-purpose-v1", "model": null } }, { "name": "compare_entities", "protocol": "mcp", "inputs": [ "type", "values" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.88 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" } }, { "name": "deep_research", "protocol": "mcp", "inputs": [ "ask", "depth", "input", "message", "prompt", "q", "query", "question" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns a cited findings packet answering multi-part questions by querying many structured data sources in parallel.", "lens": "tool-purpose-v1", "model": null } }, { "name": "discover_tools", "protocol": "mcp", "inputs": [ "description", "limit", "q", "query", "search", "task" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": false }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns the most relevant tools for a described data or task, with names, descriptions and input schemas.", "lens": "tool-purpose-v1", "model": null } }, { "name": "domain_search", "protocol": "mcp", "inputs": [ "department", "domain", "limit", "type" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns work email contacts for a given domain, with names, job titles, departments, confidence scores and the address pattern.", "lens": "tool-purpose-v1", "model": null } }, { "name": "email_finder", "protocol": "mcp", "inputs": [ "domain", "first_name", "last_name" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null }, { "name": "email_verifier", "protocol": "mcp", "inputs": [ "email" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Verifies whether an email address is deliverable and flags disposable or webmail addresses, returning a status and confidence score.", "lens": "tool-purpose-v1", "model": null } }, { "name": "entity_profile", "protocol": "mcp", "inputs": [ "country", "type", "value" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Summarizes a US public company's filings, financials, patents, federal contracts, hiring and news into one profile.", "lens": "tool-purpose-v1", "model": null } }, { "name": "forget", "protocol": "mcp", "inputs": [ "k", "key", "label", "name" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": false, "destructiveHint": true, "idempotentHint": true, "openWorldHint": false }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "deletes", "confidence": 0.895 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Deletes a saved memory entry identified by its key, permanently removing it from the agent's storage.", "lens": "tool-purpose-v1", "model": null } }, { "name": "generate_llms_txt", "protocol": "mcp", "inputs": [ "max_links", "url" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null }, { "name": "kalshi_weather_edge", "protocol": "mcp", "inputs": [ "backtest_days", "city", "date", "market_type", "series_ticker" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" } }, { "name": "list_subscriptions", "protocol": "mcp", "inputs": [ "include_inactive" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.88 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Lists your active subscriptions with their ids, types, timestamps and fire counts, optionally including inactive ones.", "lens": "tool-purpose-v1", "model": null } }, { "name": "pipeworx_feedback", "protocol": "mcp", "inputs": [ "claim_token", "context", "message", "type" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": false, "destructiveHint": false, "idempotentHint": false, "openWorldHint": false }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Creates a feedback report on a bug, data gap, feature request or praise for a tool, or checks a prior report by claim token.", "lens": "tool-purpose-v1", "model": null } }, { "name": "pipeworx_trending", "protocol": "mcp", "inputs": [ "window" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.9 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns the most-called tools and packs by AI agents over a 24h, 7d, or 30d window, plus total call volume.", "lens": "tool-purpose-v1", "model": null } }, { "name": "polymarket_arbitrage", "protocol": "mcp", "inputs": [ "event", "topic" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Checks Polymarket prediction markets for mispriced arbitrage gaps across trending markets, one event, or a topic, net of taker fees.", "lens": "tool-purpose-v1", "model": null } }, { "name": "polymarket_edge_tracker", "protocol": "mcp", "inputs": [ "days", "window" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.85 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Reports how long each prediction-market edge has persisted and whether it is widening, stable or decaying, plus recently expired edges.", "lens": "tool-purpose-v1", "model": null } }, { "name": "polymarket_edges", "protocol": "mcp", "inputs": [ "category_filter", "limit", "max_spread_pp", "min_edge_pp", "min_kelly", "min_liquidity", "min_partition_leg_kelly", "slippage_pp" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns prediction-market bets where model estimates diverge from current prices, with net edge, Kelly sizing and liquidity data.", "lens": "tool-purpose-v1", "model": null } }, { "name": "polymarket_fill_risk", "protocol": "mcp", "inputs": [ "event", "market", "side", "size_usd" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Assesses Polymarket trades against live order-book depth, netting slippage and taker fees into realizable edge and breakeven win rates.", "lens": "tool-purpose-v1", "model": null } }, { "name": "polymarket_kalshi_spread", "protocol": "mcp", "inputs": [ "kalshi_event_ticker", "polymarket_event_slug", "topic" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null }, { "name": "prediction_calibration", "protocol": "mcp", "inputs": [ "asset", "bucket_pp", "horizon", "minute", "side_convention", "venue" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.86 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns realized win rates versus shown prices for settled short-horizon crypto up/down windows, by minute elapsed and venue.", "lens": "tool-purpose-v1", "model": null } }, { "name": "recall", "protocol": "mcp", "inputs": [ "k", "key", "label", "name" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": false }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.9 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns a previously stored value by key, or lists all saved keys when no key is given.", "lens": "tool-purpose-v1", "model": null } }, { "name": "recent_alerts", "protocol": "mcp", "inputs": [ "limit", "mark_read", "since", "type", "unread_only" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns recent alerts from your subscription feed, optionally filtered by type or time, and can mark returned alerts as read.", "lens": "tool-purpose-v1", "model": null } }, { "name": "recent_changes", "protocol": "mcp", "inputs": [ "since", "type", "value" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Returns recent SEC filings, news mentions and patent grants for a company over a chosen time window, grouped by source.", "lens": "tool-purpose-v1", "model": null } }, { "name": "release_calendar_markets", "protocol": "mcp", "inputs": [ "categories", "hours" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.852 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Lists scheduled econ, Fed, FDA and SEC releases due within a time window, with any matching live prediction markets attached.", "lens": "tool-purpose-v1", "model": null } }, { "name": "remember", "protocol": "mcp", "inputs": [ "content", "data", "k", "key", "label", "name", "text", "v" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": false, "destructiveHint": false, "idempotentHint": true, "openWorldHint": false }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Adds a key-value memory entry for later recall; anonymous entries expire after 24 hours, while authenticated users keep them persistently.", "lens": "tool-purpose-v1", "model": null } }, { "name": "research_row", "protocol": "mcp", "inputs": [ "entity", "max_cost", "output_schema", "question", "sources" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns a per-company answer to a custom question, with each field backed by a verified quote from the company's website or SEC filings.", "lens": "tool-purpose-v1", "model": null } }, { "name": "resolution_audit", "protocol": "mcp", "inputs": [ "market", "venue" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Reports a prediction market's settlement clause: settling source, timing, precision, comparison basis, evidence standard, and void handling.", "lens": "tool-purpose-v1", "model": null } }, { "name": "resolution_diff", "protocol": "mcp", "inputs": [ "a", "b" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.8 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Checks whether two prediction markets settle on the same terms by diffing source, settle time, precision and evidence rules.", "lens": "tool-purpose-v1", "model": null } }, { "name": "resolve_entity", "protocol": "mcp", "inputs": [ "country", "type", "value" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns official identifiers such as ticker, CIK, LEI and FIGI for a company name or ISIN, or an RxCUI for a drug name.", "lens": "tool-purpose-v1", "model": null } }, { "name": "scan_competitor_ai_presence", "protocol": "mcp", "inputs": [ "context", "entities", "models" ], "inputs_omitted": 1, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Reports how well AI models recognize your brand versus competitors, ranking entities by score, confidence and signal density.", "lens": "tool-purpose-v1", "model": null } }, { "name": "scan_dependency", "protocol": "mcp", "inputs": [ "package", "version" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Checks an npm package's license, security advisories, release history, and bundle size before you add it to a project.", "lens": "tool-purpose-v1", "model": null } }, { "name": "search_within", "protocol": "mcp", "inputs": [ "limit", "query", "text" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null }, { "name": "subscribe", "protocol": "mcp", "inputs": [ "delivery", "params", "type" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": false, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "creates", "confidence": 0.815 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Creates a monitoring subscription that alerts you when new SEC filings, trials, or market data match your filters.", "lens": "tool-purpose-v1", "model": null } }, { "name": "suggest_questions", "protocol": "mcp", "inputs": [ "topic" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Returns example questions grouped by category, each with the tool and arguments that answer it, optionally filtered by topic.", "lens": "tool-purpose-v1", "model": null } }, { "name": "unsubscribe", "protocol": "mcp", "inputs": [ "id" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": false, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "deletes", "confidence": 0.85 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Cancels a subscription by its ID, deactivating it while keeping its past events available for later viewing.", "lens": "tool-purpose-v1", "model": null } }, { "name": "updown_divergence_rate", "protocol": "mcp", "inputs": [ "asset", "days" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.88 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" } }, { "name": "updown_venue_compare", "protocol": "mcp", "inputs": [ "asset", "horizon", "window" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": { "marker": "◇ AI reading", "state": "counted", "classes": [ { "class": "reads", "confidence": 0.86 } ], "lens": "side-effects@1", "model": "claude-haiku-5.5" }, "purpose": { "marker": "◇ AI reading", "text": "Shows the same 15-minute crypto up-or-down window priced across prediction markets, with whether each pair settles on the same contract.", "lens": "tool-purpose-v1", "model": null } }, { "name": "validate_claim", "protocol": "mcp", "inputs": [ "claim", "tolerance_pct" ], "inputs_omitted": 0, "annotations": { "readOnlyHint": true, "destructiveHint": false, "idempotentHint": true, "openWorldHint": true }, "effects": null, "purpose": { "marker": "◇ AI reading", "text": "Verifies a factual claim and returns a verdict with cited source values; company financials are checked against SEC filings.", "lens": "tool-purpose-v1", "model": null } } ], "tools_omitted": 0, "tools_state": "recorded", "changes": [], "payment_rails": { "protocols": [], "http_402_seen": false }, "not_covered": [ "We don't call tools.", "We don't rate or certify.", "We don't publish prices.", "We cover only what was observed." ], "evidence": [ { "section": "Identity", "classes": [ "observed", "declared" ], "observed_at": "2026-11-12T13:04:41.953Z" }, { "section": "Tools", "classes": [ "declared" ], "observed_at": "2026-11-12T13:04:41.953Z" }, { "section": "Effect readings (AI)", "classes": [ "AI reading" ], "observed_at": "2026-11-12T13:04:41.953Z" }, { "section": "Change history", "classes": [ "observed" ], "observed_at": "2026-11-12T13:04:41.953Z", "observation_times": [] }, { "section": "Payment rails", "classes": [ "observed" ], "observed_at": "2026-11-12T13:04:41.953Z" } ] } ```