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Choose a tutorial for the task at hand: define the result, find the right capability, then check completeness, errors, and costs. Each guide includes sources, a fact-check date, and scope boundaries.
25
fact-checked tutorials
3
task paths from requirements to production
Guides organize reproducible tutorials. The Blog covers industry and platform changes.
Start with the capability catalog, platform objects, and a minimal request. Then handle pagination, deduplication, missing fields, and sample boundaries.
10 guides
Access multi-platform data using platform, action, and params: read the capability catalog, complete minimal requests, handle asynchronous tasks, partial results, and billing, and establish traceable data records.
Read the guideStep-by-step integration of Xiaohongshu comments_batch: preparing complete note URLs, distinguishing URL count from comment count, identifying partial and missed results, deduplicating by note, and handling empty results, retries, and target billing.
Read the guideStart with live parameters for douyin.comments, read comments using minimal requests, preserve video source, comment IDs, and reply relationships, and handle limits, empty results, timestamp parsing, and repeated observations.
Read the guideIntegrate TikTok profile and user_videos endpoints, separate account and video snapshots, calculate clear engagement metrics, handle missing values, and avoid treating public data as conversion results.
Read the guideDistinguish between Business Profile, Places API, and EveryInfra location review retrieval, verify location identity, language, and time filters, preserve changes to ratings and merchant replies, and clarify sample, storage, and display boundaries.
Read the guideStep-by-step integration for reading Amazon reviews, verifying country marketplaces and product identities, separating reviews, variants, and observation logs, handling deduplication and missing data, and building issue classifications with verifiable source snippets.
Read the guideDesign a traceable reputation monitoring workflow starting with target lists, comment identities, and incremental cursors; use offline samples to demonstrate deduplication and ingestion gaps while preserving manual review.
Read the guideA tested plan for a small paid service built on a data API. Each week you send a dental clinic a one-page comparison of its Google reviews against four nearby clinics. We ran the calls and priced the data at about $0.04 per client per month. We also list real competitor prices, sales channels, the delivery steps and the cases where this business does not work.
Read the guideA tested plan for a small paid service built on a data API. Each month you send a mid-size YouTube creator a report on what viewers ask for in the comments of the creator's channel and four similar channels. We ran the calls on five public brand and institution channels, priced the data at about $0.05 per report, and measured how much of the work a person must still do.
Read the guideWe ran n8n 2.45.3 on a schedule against EveryInfra trending lists for X, Weibo and Douyin, stopped it twice, and checked every run, every missed run and every charge.
Read the guideChoose how to connect search, the AI API, and REST or MCP.
12 guides
Choose tools for search, content reading, and cross-checking by task phase, preserving sources, timestamps, and failure states. Inspect input parameters against public catalogs rather than treating search hit counts as credibility.
Read the guideIsolate the compatibility boundaries of the SDK, base URL, and models. Validate non-streaming text requests, errors, and billing details before restoring parameters task by task, avoiding the assumption that client compatibility equals full service compatibility.
Read the guideUse a keyless discovery probe to inspect initialization, notifications, and the tool catalog, then verify the network and authentication requirements of Claude, ChatGPT, and Cursor respectively to avoid treating protocol visibility as end-user testing across all three clients.
Read the guideSelect the EveryInfra API based on input, source, and result shape by distinguishing platform data retrieval, web discovery and reading, model analysis, and challenge handling, then decide between REST and MCP, and establish acceptance criteria for each step.
Read the guideStarting from real-world discrepancies in platform identifiers, parameter declarations, and MCP discovery, we design catalog snapshots, parameter diffs, and example checks, clarifying caching, missing fields, and release gates to avoid treating catalog alignment as full service availability.
Read the guideSmithery shut down its MCP proxy, accounts and API keys on October 31. Add EveryInfra's MCP URL to Claude, Claude Code or the Claude API directly, with tested commands, latency and per-call cost.
Read the guideAdd EveryInfra from the ModelScope MCP plaza and let your AI read Xiaohongshu (RedNote) notes and Douyin videos. Real timings, prices, config and errors.
Read the guideThe EveryInfra plugin is listed on Cursor Directory, and its Cursor Marketplace application is in progress. Three ways to install it, a log of real MCP calls with latency and cost, error meanings and a monthly cost example.
Read the guideUse one remote MCP server in LobeHub for TikTok, Instagram, Amazon and RedNote (Xiaohongshu) data. The marketplace listing is being submitted; you can add the server by hand today. Tested calls, tool permissions and a monthly cost example.
Read the guideFill a Feishu Base column with RedNote, Douyin, JD, Taobao and 1688 data from links. Real-table results, error meanings and per-row prices.
Read the guideWhat happens after you publish a server.json to the MCP Registry, what Glama, PulseMCP and Smithery each read and test, and a measured look at EveryInfra's own Registry entry and Glama listing, with a publishing checklist and claim steps.
Read the guideConnect EveryInfra to Tencent WorkBuddy and ask for RedNote, Douyin, JD, 1688 and TikTok data in plain language. Real timings, setup, errors and costs.
Read the guidePrepare for production with error classification, bounded retries, refund reconciliation, and end-to-end CAPTCHA workflows.
3 guides
Differentiate authentication, authorization, capability, parameter, and unknown results, correct requests using the current directory, and constrain retries with a decision engine that sends no network requests to prevent error handling from becoming unauthorized privilege escalation or duplicate calls.
Read the guideSeparate tasks, call attempts, delivery states, and wallet events to handle pre-charge rejections, empty results, and partial credit returns without double-counting, using integer-based offline examples.
Read the guideWithin systems you own and official testing mechanisms, verify types, parameters, and result shapes. Separate the acceptance of tokens, server-side validation, business operations, and costs to avoid treating return values as successful validation.
Read the guide