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164,020 tools. Last updated 2026-05-30 23:02

"Amazon Alexa" matching MCP tools:

  • Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.
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  • Confirms whether an SSP/exchange is authorized to sell a publisher's inventory according to that publisher's ads.txt. This is a cache lookup against ads.txt files crawled daily across the top 10,000 publisher domains — it does NOT fetch the publisher's ads.txt live, so it is fast and adds no latency to a real-time bidding decision. Use this tool when: - You are an ad-buying agent and want to confirm, pre-bid, that a supply path (publisher → exchange → seller_id) is legitimate. - You are detecting domain spoofing or unauthorized resale in a bid stream. - You want to check whether a seller is listed DIRECT or RESELLER. Do NOT use this tool when: - You want a full supply-path trust score — that endpoint is Sigil P31. - You want surveillance tracker data for the domain — use `get_domain`. Inputs: - `publisher_domain` (body, required): Publisher domain, e.g. `nytimes.com`. A `www.` prefix and scheme/path are stripped automatically. - `exchange_domain` (body, required): The exchange/SSP domain as it appears in ads.txt, e.g. `google.com`, `amazon-adsystem.com`. - `seller_id` (body, required): The publisher's seller/account ID at that exchange, e.g. `pub-4177862836555934`. Matched exactly. - `seller_type` (body, optional): `DIRECT` or `RESELLER`. When supplied it is checked against the ads.txt entry; a mismatch is reported as a warning. - `resolve_chain` (body, optional): When true, a matched RESELLER entry is cross-checked against the exchange's sellers.json (one authoritative hop). Returns: - `verified`: true (entry found), false (confidently not listed), or null (ads.txt could not be retrieved — indeterminate). - `confidence`: `high` | `degraded` | `low` | `unknown`. - `seller_entry`: the matched ads.txt line (line number, raw text, parsed fields) when `verified` is true; otherwise null. - `ads_txt_parse_status`, `ads_txt_last_parsed`, `stale`: provenance of the cached crawl this answer is derived from. - `reseller_chain`: empty unless `resolve_chain: true` and the matched entry is RESELLER — then it carries the sellers.json cross-check for the seller. - `warnings`: actionable flags, e.g. `publisher_not_in_corpus`, `publisher_has_no_ads_txt`, `seller_type_mismatch`, `ads_txt_cache_stale`. Cost: - Counts as one request against the daily rate limit. Latency: - Typical: <50ms (single cache lookup, no outbound fetch). p99: <120ms.
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  • Event-discovery sweep: pick an event keyword (algal_bloom, deforestation, flood_extent, wildfire, urban_heat_island, methane_plume, landslide, drought, soil_salinity, crop_stress, water_turbidity, oil_slick) plus a region (free-text name or polygon_bbox). The responder geocodes the region, fans out across up to 32 sampled cells, recalls each event's primary scalar input band, and returns the top 8 hotspots ranked by that scalar — each carrying its cell64, lat/lng, the recalled value, a fact_cid for citation, and a scene.png URL. Bypass for free-text input is `emem_ask` (the classifier in /v1/ask routes "find X in Y" questions to the same hunter path). When to use: Call when the user asks an open-world discovery question ("find oil spills in the Persian Gulf", "where is deforestation happening in the Amazon", "show me algal blooms in Lake Erie", "hunt wildfires across California"). Surface 3–8 hotspots with their scene.png as image attachments and quote at least one fact_cid. For `oil_slick` the responder honestly reports `not_yet_implemented` and points at SAR-darkening + turbidity proxies — don't fabricate detections. The ranking uses the algorithm's primary scalar input only; for the full per-cell algorithm score, fetch the formula at /v1/algorithms/<key> and apply it client-side over the same recalled bands.
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  • Check AWS resource availability across regions for products (service and features), APIs, and CloudFormation resources. ## Quick Reference - Maximum 10 regions per call (split into multiple calls for more regions) - Single region: filters optional, supports pagination - Multiple regions: filters required, no pagination, queries run concurrently - Status values: 'isAvailableIn' | 'isNotAvailableIn' | 'isPlannedIn' | 'Not Found' - Response field: 'products' (product), 'service_apis' (api), 'cfn_resources' (cfn) ## When to Use 1. Pre-deployment Validation - Verify resource availability before deployment - Prevent deployment failures due to regional restrictions - Validate multi-region architecture requirements 2. Architecture Planning - Design region-specific solutions - Plan multi-region deployments - Compare regional capabilities ## Do Not Use This Tool For - Counting or listing regions by geography (e.g., "how many AP regions exist?") — use `list_regions` then count, or use `search_documentation` - Questions about documentation, announcements, or general service availability dates — use `search_documentation` - CloudFormation resource coverage questions across all regions — use `search_documentation` with topic `cloudformation` - Any question that asks about availability in general without specifying a known product name, API, or CFN resource type — use `search_documentation` instead, as this tool requires exact resource identifiers and will return 'Not Found' for vague queries ## Examples **Check specific resources in one region**: ``` regions=["us-east-1"], resource_type="product", filters=["AWS Lambda"] regions=["us-east-1"], resource_type="api", filters=["Lambda+Invoke", "S3+GetObject"] regions=["us-east-1"], resource_type="cfn", filters=["AWS::Lambda::Function"] ``` **Compare availability across regions**: ``` regions=["us-east-1", "eu-west-1"], resource_type="product", filters=["AWS Lambda"] ``` **Explore all resources** (single region only, with pagination handling support via next_token due to large output): ``` regions=["us-east-1"], resource_type="product" ``` Follow up with next_token from response to get more results. ## Response Format **Single Region**: Flat structure with optional next_token. Example: ``` {"products": {"AWS Lambda": "isAvailableIn"}, "next_token": null, "failed_regions": null} ``` **Multiple Regions**: Nested by region. Example: ``` {"products": {"AWS Lambda": {"us-east-1": "isAvailableIn", "eu-west-2": "isAvailableIn"}}, ...} ``` ## Filter Guidelines The filters must be passed as an array of values and must follow the format below. 1. Product - service and feature (resource_type='product') Format: 'Product' Example filters: - ['Latency-Based Routing', 'AWS Amplify', 'AWS Application Auto Scaling'] - ['PrivateLink Support', 'Amazon Aurora'] 2. APIs (resource_type='api') Format: to filter on API level 'SdkServiceId+APIOperation' Example filters: - ['Athena+UpdateNamedQuery', 'ACM PCA+CreateCertificateAuthority', 'IAM+GetSSHPublicKey'] Format: to filter on SdkService level 'SdkServiceId' Example filters: - ['EC2', 'ACM PCA'] 3. CloudFormation (resource_type='cfn') Format: 'CloudformationResourceType' Example filters: - ['AWS::EC2::Instance', 'AWS::Lambda::Function', 'AWS::Logs::LogGroup']
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  • Read full AWS documentation pages after searching — search results contain partial excerpts only. Use this tool on the URLs returned by `search_documentation` to get complete, accurate information. ## Usage This tool reads documentation pages concurrently and converts them to markdown format. Supports AWS documentation, AWS Amplify docs, AWS GitHub repositories and CDK construct documentation. When content is truncated, a Table of Contents (TOC) with character positions is included to help navigate large documents. ## Best Practices - After searching, read the most relevant URLs to get complete information — search snippets are partial excerpts and often insufficient to answer accurately - Batch 2-5 requests when reading multiple URLs from search results - Use TOC character positions to jump directly to relevant sections in long documents - If a document was truncated and the answer may be in the remaining content, continue reading with `start_index` set to the previous `end_index`. Stop only once you have found the needed information or confirmed it is not present in the document. ## Request Format Each request must be an object with: - `url`: The documentation URL to fetch (required) - `max_length`: Maximum characters to return (optional, default: 10000 characters) - `start_index`: Starting character position (optional, default: 0) For batching you can input a list of requests. ## Example Request ``` { "requests": [ { "url": "https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-management.html", "max_length": 5000, "start_index": 0 }, { "url": "https://repost.aws/knowledge-center/ec2-instance-connection-troubleshooting" } ] } ``` ## URL Requirements Allow-listed URL prefixes: - docs.aws.amazon.com - aws.amazon.com - repost.aws/knowledge-center - docs.amplify.aws - ui.docs.amplify.aws - github.com/aws-cloudformation/aws-cloudformation-templates - github.com/aws-samples/aws-cdk-examples - github.com/aws-samples/generative-ai-cdk-constructs-samples - github.com/aws-samples/serverless-patterns - github.com/awsdocs/aws-cdk-guide - github.com/awslabs/aws-solutions-constructs - github.com/cdklabs/cdk-nag - constructs.dev/packages/@aws-cdk-containers - constructs.dev/packages/@aws-cdk - constructs.dev/packages/@cdk-cloudformation - constructs.dev/packages/aws-analytics-reference-architecture - constructs.dev/packages/aws-cdk-lib - constructs.dev/packages/cdk-amazon-chime-resources - constructs.dev/packages/cdk-aws-lambda-powertools-layer - constructs.dev/packages/cdk-ecr-deployment - constructs.dev/packages/cdk-lambda-powertools-python-layer - constructs.dev/packages/cdk-serverless-clamscan - constructs.dev/packages/cdk8s - constructs.dev/packages/cdk8s-plus-33 - strandsagents.com/ Deny-listed URL prefixes: - aws.amazon.com/marketplace ## Example URLs - https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html - https://docs.aws.amazon.com/lambda/latest/dg/lambda-invocation.html - https://aws.amazon.com/about-aws/whats-new/2023/02/aws-telco-network-builder/ - https://aws.amazon.com/builders-library/ensuring-rollback-safety-during-deployments/ - https://aws.amazon.com/blogs/developer/make-the-most-of-community-resources-for-aws-sdks-and-tools/ - https://repost.aws/knowledge-center/example-article - https://docs.amplify.aws/react/build-a-backend/auth/ - https://ui.docs.amplify.aws/angular/connected-components/authenticator - https://github.com/aws-samples/aws-cdk-examples/blob/main/README.md - https://github.com/awslabs/aws-solutions-constructs/blob/main/README.md - https://constructs.dev/packages/aws-cdk-lib/v/2.229.1?submodule=aws_lambda&lang=typescript - https://github.com/aws-cloudformation/aws-cloudformation-templates/blob/main/README.md - https://strandsagents.com/docs/user-guide/quickstart/overview/index.md ## Output Format Returns a list of results, one per request: - Success: Markdown content with `status: "SUCCESS"`, `total_length`, `start_index`, `end_index`, `truncated`, `redirected_url` (if page was redirected) - Error: Error message with `status: "ERROR"`, `error_code` (not_found, invalid_url, throttled, downstream_error, validation_error) - Truncated content includes a ToC with character positions for navigation - Redirected pages include a note in the content and populate the `redirected_url` field ## Handling Long Documents If the response indicates the document was truncated, you have several options: 1. **Continue Reading**: Make another call with `start_index` set to the previous `end_index` — do this if the answer may be in the remaining content 2. **Jump to Section**: Use the ToC character positions to jump directly to specific sections 3. **Stop when done**: Stop only once you have found the needed information or confirmed it is not present in the document **Example - Jump to Section:** ``` # TOC shows: "Using a logging library (char 3331-6016)" # Jump directly to that section: {"requests":[{"url": "https://docs.aws.amazon.com/lambda/latest/dg/python-logging.html", "start_index": 3331, "max_length": 3000}]} ```
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  • Lists pre-configured reports (prebuilds) available for a connector. **What is a prebuild?** A prebuild is a standardized report maintained by Quanti for a given connector (e.g., Campaign Stats for Google Ads). It defines the BigQuery table structure (columns, types, metrics) and the associated API query. **When to use this tool:** - When the user asks "what reports are available for [connector]?" - When the user doesn't know which data or metrics exist for a connector - BEFORE get_schema_context, to explore available reports for a connector - To understand the data structure before writing SQL **Difference with get_schema_context:** - list_prebuilds → discover which reports/tables EXIST for a connector (catalog) - get_schema_context → get the actual BigQuery schema for the client project (effective data) **Response format:** Returns a JSON with for each prebuild: its ID, name, description, BigQuery table name, and the list of fields (name, type, description, is_metric). Fields marked is_metric=true are aggregatable metrics (impressions, clicks, cost...), others are dimensions (date, campaign_name...). **SKU examples**: googleads, meta, tiktok, tiktok-organic, amazon-ads, amazon-dsp, piano, shopify-v2, microsoftads, prestashop-api, mailchimp, kwanko
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Matching MCP Servers

Matching MCP Connectors

  • Amazon product search demand over time, with growth for any keyword. Free key at trendsmcp.ai

  • Hosted Amazon Seller Central and Amazon Ads MCP server for Claude, ChatGPT, Cursor, and agents.

  • Comprehensive email domain health check: MX routing, SPF authentication, DKIM signing, DMARC policy enforcement, DNSBL blacklist status (Spamhaus/SpamCop/Barracuda), TLS certificate validity, and WHOIS registration age. Aggregates a reputation score 0-100 and generates P0/P1/P2 deliverability signals. Accepts a domain (stripe.com) or email address (info@stripe.com). Detects role-based addresses (info@, support@, admin@, noreply@) that have higher bounce rates. Detects email provider (Google Workspace, Microsoft 365, Amazon SES, etc.). P0 signals: blacklisted / no MX / TLS expired / no SPF + DMARC none. P1 signals: SPF soft-fail / no DKIM selector / DMARC no reporting. P2 signals: role-based address / TLS expires <30d / domain age <90 days. All checks are keyless (no API keys required). Cache TTL 1h. SLA <=10s p95.
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  • Return pricing-tier breakdown and category stats for an Amazon CPG category. Use when a brand is sizing up a shelf — e.g. evaluating whether a new SKU should enter at budget / midmarket / premium tier, benchmarking their retail pricing against Amazon tier structure, or preparing for a retail buyer meeting that will ask "what's the typical shelf price here?". Returns: category (resolved name), product_count (bucketed, e.g. "100+ products"), price_tiers (dict with budget / midmarket / premium dollar bands, rounded to nearest $0.50 for abstraction), median_price, trend_direction, last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
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  • Compare multiple product prices against an Amazon CPG category's peers. Use when a multi-channel CPG brand needs to stack-rank their SKUs — e.g. identifying which SKUs are underpriced relative to Amazon peers, flagging products where the Amazon Buy Box sits materially below the retail MSRP, or building a cross-channel price-audit table for an ops review. Replaces manual store walks and spreadsheet comparisons. Returns: comparisons (list, per product: name, price, percentile_rank, position, vs_median), category, category_trend, sample_size, last_refreshed, cta. Args: products: List of items, each a dict with 'name' (string) and 'price' (number in dollars). Minimum 1 item; 3-20 is the useful range. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
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  • List Amazon CPG categories with current product counts and trend direction. Use as the first call in any pricing-analysis workflow — returns the exact category names expected by other tools, plus product count and trend for each. Lightweight; safe to call before any category-specific query. Returns: categories (list of {name, product_count, trend_direction, last_refreshed}), note (summary of coverage), cta. Covers Grocery & Gourmet Food, Health & Beauty, Household, and Pet Supplies.
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  • Percentile-rank a single product price against tracked Amazon competitors in a CPG category. Use when a multi-channel CPG brand asks where their Amazon listing price sits against 100+ tracked products — e.g. checking whether a $4.99 granola is competitively positioned on Amazon, auditing whether a retail MSRP is reasonable against Amazon reality before a buyer meeting, or sanity-checking a wholesale-to-retail markup. Returns: percentile_rank (string, e.g. "72nd percentile"), price_index_label (ratio vs. category median), position (Value / Parity / Premium), category (resolved name), last_refreshed (ISO timestamp), cta (link to full per-SKU report). Args: price: Product price in dollars (e.g. 4.99). Must be > 0 and <= 10000. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive. Call list_categories first to confirm available names.
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  • Report the 30-day Amazon price-trend direction for a CPG category. Use when a pricing ops lead asks whether category pricing is rising, stable, or falling — e.g. setting retail promo calendar against an Amazon backdrop, deciding whether to raise wholesale prices during inflationary windows, or catching a price war before it spills into their channel. Returns: trend_direction (Rising / Stable / Falling / Insufficient Data), trend_window ("30 days"), confidence (note with product count), category (resolved name), last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
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  • Comprehensive email domain health check: MX routing, SPF authentication, DKIM signing, DMARC policy enforcement, DNSBL blacklist status (Spamhaus/SpamCop/Barracuda), TLS certificate validity, and WHOIS registration age. Aggregates a reputation score 0-100 and generates P0/P1/P2 deliverability signals. Accepts a domain (stripe.com) or email address (info@stripe.com). Detects role-based addresses (info@, support@, admin@, noreply@) that have higher bounce rates. Detects email provider (Google Workspace, Microsoft 365, Amazon SES, etc.). P0 signals: blacklisted / no MX / TLS expired / no SPF + DMARC none. P1 signals: SPF soft-fail / no DKIM selector / DMARC no reporting. P2 signals: role-based address / TLS expires <30d / domain age <90 days. All checks are keyless (no API keys required). Cache TTL 1h. SLA <=10s p95.
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  • Categories V2 Query Amazon category hierarchy by ID, path, parent, or keyword. Use this to discover category structure for filtering in other endpoints. Example: pass categoryKeyword="yoga" to find matching categories, or parentCategoryPath=["Sports & Outdoors"] to list child categories. Query modes (mutually exclusive): - No parameters: Returns all root categories - categoryId: Get specific category by ID - categoryPath: Get specific category by path - parentCategoryId: Get children of parent category by ID - parentCategoryPath: Get children of parent category by path - categoryKeyword: Search categories by keyword Related: /products/search and /markets/search accept categoryPath for filtering. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json { "success": true, "meta": { "requestId": "Requestid", "timestamp": "Timestamp" } } ``` **Output Schema:** ```json { "properties": { "success": { "type": "boolean", "title": "Success", "description": "Whether the request was successful", "default": true }, "data": { "title": "Data", "description": "Response data payload" }, "error": { "description": "Error details if request failed" }, "meta": { "description": "Metadata for API responses.\n\nCredit fields follow the ADR-0003 parallel-fields strategy (Option 3):\n- `credits_remaining` / `credits_consumed` (int): legacy fields, rounded\n to whole credits, kept for zero-breaking-change to existing SDK clients.\n- `credits_remaining_exact` / `credits_consumed_exact` (float): new\n precision-aware fields for clients that opt in to decimal credits.\n\nSee ADR-0003 decision 5 and the \u00a78 deprecation timeline.\n\nTODO(2026-11, ADR-0003 \u00a78 +6mo): mark `credits_remaining` /\n`credits_consumed` as `deprecated=True` in their Field() definitions\nand announce in customer changelog.\nTODO(2027-05, ADR-0003 \u00a78 +12mo): remove the legacy int fields via a\nmajor-version bump of the OpenAPI surface.", "properties": { "requestId": { "type": "string", "title": "Requestid", "description": "Unique request identifier" }, "timestamp": { "type": "string", "title": "Timestamp", "description": "Response timestamp in ISO 8601 format" }, "total": { "title": "Total", "description": "Total number of records" }, "page": { "title": "Page", "description": "Current page number" }, "pageSize": { "title": "Pagesize", "description": "Number of records per page" }, "totalPages": { "title": "Totalpages", "description": "Total number of pages" }, "creditsRemaining": { "title": "Creditsremaining", "description": "Remaining API credits (rounded to whole credits; see creditsRemainingExact for precise value)" }, "creditsConsumed": { "title": "Creditsconsumed", "description": "Credits consumed by this request (rounded; see creditsConsumedExact for precise value)" }, "creditsRemainingExact": { "title": "Creditsremainingexact", "description": "Remaining API credits, precise to 1 decimal place" }, "creditsConsumedExact": { "title": "Creditsconsumedexact", "description": "Credits consumed by this request, precise to 1 decimal place" }, "tokensUsage": { "description": "Provider token-usage block \u2014 populated on terminal video polls only, null on every non-video endpoint. See TokensUsage for its fields." } }, "type": "object", "required": [ "requestId", "timestamp" ], "title": "ResponseMeta" } }, "type": "object", "required": [ "meta" ], "title": "OpenApiResponse[list[Category]]", "examples": [] } ``` **422**: Validation Error Content-Type: application/json **Example Response:** ```json { "detail": [ { "loc": [], "msg": "Message", "type": "Error Type", "ctx": {} } ] } ``` **Output Schema:** ```json { "properties": { "detail": { "items": { "properties": { "loc": { "items": {}, "type": "array", "title": "Location" }, "msg": { "type": "string", "title": "Message" }, "type": { "type": "string", "title": "Error Type" }, "input": { "title": "Input" }, "ctx": { "type": "object", "title": "Context" } }, "type": "object", "required": [ "loc", "msg", "type" ], "title": "ValidationError" }, "type": "array", "title": "Detail" } }, "type": "object", "title": "HTTPValidationError" } ```
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  • Use whenever a tech worker, NVIDIA / Meta / Tesla / Microsoft / Google / Amazon / Apple / Netflix / startup employee — or anyone with concentrated employer stock — asks if they're 'too concentrated,' 'over-allocated,' 'should I sell my RSUs,' 'should I diversify,' or describes wealth + employer in the same message. Calculates the Single-Company Risk Score (0-100), full concentration analysis, top action items, historical drawdown context, and a pre-filled dashboard URL. All fields optional except an employer (ticker OR explicit volatility); the more inputs the better the analysis. International — pass `country` (US/IN/CA/UK/EU/AU/OTHER) to switch retirement-account terminology and currency symbol. Risk math is identical for all countries. Stateless and privacy-respecting — no inputs are logged or stored.
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  • Check if a smart home device fits a user's existing setup using SmartHomeExplorer's proprietary Compatibility Engine. Evaluates across 7 ecosystems (Google Home, Alexa, HomeKit, SmartThings, Matter, Hubitat, Home Assistant), 8 wireless protocols, hub requirements, and subscription cost stacking. Returns a compatibility score (0-100) and verdict (great-fit / works / caution / poor-fit). This cross-ecosystem analysis is unique to SmartHomeExplorer — no other public service evaluates device-to-device compatibility across platforms. Methodology at smarthomeexplorer.com/she-score-methodology.
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  • Research any topic — search Google, Bing, YouTube, X/Twitter, Amazon, Yelp, Google Trends, news, and 100+ more engines. Read webpages, extract video transcripts, find reviews, track competitors. Works without a domain.
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  • Returns information about Bolivian banks that issue international debit/credit cards used for online purchases (Amazon, AliExpress, etc.). Pass a slug to get a specific bank, or omit to list all. Each entry includes the canonical paralelo.bo URL where current limits are documented.
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  • ユーザーがAmazonで買いたい場合や楽天で見つからない場合に呼ぶ。Amazonの検索結果ページへのアフィリエイトURLを生成する(商品データは返さない)。SearchIndexはカテゴリから自動選択。affiliate_urlをユーザーに提示すること。
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  • Get Amazon Product Reviews Paginated fetch of customer reviews for an Amazon ASIN with filters for star rating (1-5, positive, critical), reviewer type (all vs verified purchase), media-only reviews, current-variant vs all-formats, keyword search, and sort (helpful/recent). Returns per-review title, body, star rating, author name and profile, review date, country, verified-purchase flag, helpful-vote count, variant/format attributes, and attached media URLs, plus aggregate rating histogram. Use for voice-of-customer analysis, sentiment and theme extraction, feature-request mining, competitor review benchmarking, and feeding review-summarization or Q&A agents.
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