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View technical comparison →Everyn v1.0.0
Enrich datasets
Developer declarations; not independently tested. Listing last checked Nov 4, 2026. Package observed Nov 3, 2026.
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enrich and analyze this data
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Everyn turns CSV datasets into structured, reviewable, and analyzable results. Type in your prompt and get enriched results in minutes. Research leads, summarize/classify text, generate personalized email intros, or whatever else you want to do on your data.
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Everyn turns CSV datasets into structured, reviewable, and analyzable results. Type in your prompt and get enriched results in minutes. Research leads, summarize/classify text, generate personalized email intros, or whatever else you want to do on your data.
Enrich datasets
· 1 observation
Package or technical metadata updated
View technical comparison →· 2 observations
Package or technical metadata updated
View technical comparison →Find competitors to follow as you develop your plugin.
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Shared terms: enrich, lead, structured, research
Riveter turns web research into structured data. Give Claude a list of companies, people, or URLs and ask for new columns: product descri...
Shared terms: dataset, enrich, structured, research
Prompt engineering tools to create, refine, and format structured prompts for creative and technical workflows.
Shared terms: prompt, structured, text
Sumble helps sales teams research companies, inspect technology use and hiring signals, find professional contacts, and save accounts or ...
Shared terms: csv, email, research, result
Search Orbit for people, read source-backed profiles, and prepare for meetings or research. Manage organization directories, import CSV t...
Shared terms: csv, email, research, text
--- name: everyn description: Work with hosted Everyn datasets, jobs, runs, and exports. license: Apache-2.0 metadata: io.everyn/host: openai-codex io.everyn/canonical: docs/mcp-v1-guidance/skill.md --- Host packaging only. Do not fork tools, authorization, errors, side effects, or workflow rules. Install recipes stay on the published Connect page. Reconnect and revoke stay in Everyn Settings. - Install: https://www.everyn.ai/docs/mcp/connect - Connection control: https://app.everyn.ai/settings/mcp The public production MCP endpoint is live at https://mcp.everyn.ai/mcp. Configure a host with that Streamable HTTP URL and complete WorkOS OAuth. # Everyn You are connected to Everyn, a hosted Dataset-to-results workspace. Use the fourteen tools in this catalog. Never invent a fifteenth tool or a host-specific shortcut. The public production MCP endpoint is live at `https://mcp.everyn.ai/mcp`. Configure a host with that Streamable HTTP URL and complete WorkOS OAuth. See [Connect](https://www.everyn.ai/docs/mcp/connect) for host install recipes. ## Required agent behavior - Never treat a local filesystem path as a hosted file. Use `upload_csv` or rediscover a Dataset the user uploaded in the app. - Never silently widen a sample Run into a full-dataset Run. - Do not invent cost, plan, usage, or funding values. If a section is `available: false`, say so and use the provided handoff. - After the user asked you to wait, keep calling bounded `get_run` waits without asking them to prompt again. - Do not blindly retry quality or spec failures. - Do not stop at terminal Run status. Export, download, and analyze the complete-results CSV. - Do not ask for a second approval to export or analyze an already authorized Run. - After discovery, use exact Everyn IDs. Do not guess resources by name. - Never echo a signed transfer descriptor object in later tool inputs or logs. Tool text may include compact transfer facts (method, URL, required headers, expiry, and next step) so ordinary HTTPS clients can complete the transfer. Prefer the structured descriptor when the host exposes it. Do not require a dedicated host transfer handler. - Do not fetch arbitrary URLs. Only Everyn-issued transfer targets exist, and the client moves bytes. ## Workflow 1. Call `get_context` for the current authenticated organization only. 2. Upload or rediscover a Dataset. If `upload_csv` returns a signed transfer descriptor or compact transfer text, PUT the CSV to the issued HTTPS target. Never echo the descriptor object in later tool inputs or logs. 3. Create or patch a Job with `save_job`. Prefer a sample before an unverified full Run. 4. Start work with exactly one `start_run` form: new, resume, or retry. 5. Wait with bounded `get_run` calls. Preview with `get_run_results` if needed. 6. When `next_action` is `export_and_analyze`, call `export_run`, download the CSV locally, and analyze that file for the user. ## Job development Prepare or select a Dataset, author the output contract, choose models and capabilities, sample, inspect, revise, and pin the verified Job version. Progressive references: - [Datasets](https://www.everyn.ai/docs/mcp/datasets) - [Jobs](https://www.everyn.ai/docs/mcp/jobs) - [Help: complete your first workflow](https://www.everyn.ai/help/getting-started/complete-your-first-workflow) If the host cannot move local CSV bytes, use the Datasets fallback at `https://app.everyn.ai/datasets`, then rediscover the Dataset. Do not treat a local path as a hosted file. ## Run operations Start an explicit sample or full Run, wait without cancelling work, preview only as a bounded quality check, retry or resume when the Run state allows it, harvest or cancel when the user asked, then export and locally analyze the complete-results CSV. Progressive references: - [Runs](https://www.everyn.ai/docs/mcp/runs) - [Export](https://www.everyn.ai/docs/mcp/export) - [Help: waits, retries, and cancellation](https://www.everyn.ai/help/mcp/upload-wait-and-cancel) - [Help: export and support](https://www.everyn.ai/help/mcp/export-and-support) Do not stop at terminal Run status. Do not ask for a second export approval. ## Setup and account Authenticate through WorkOS OAuth. One grant binds one user, one client, and exactly one organization. Inspect, reconnect, and revoke from Everyn Settings. Do not request organization IDs. Do not use API keys when WorkOS failed. Progressive references: - [Connect](https://www.everyn.ai/docs/mcp/connect) for host install recipes - [Authentication](https://www.everyn.ai/docs/mcp/authentication) for scopes - [MCP connection settings](https://app.everyn.ai/settings/mcp) for reconnect and revoke - [Help: connect and reconnect](https://www.everyn.ai/help/mcp/connect-and-reconnect) - [Privacy](https://www.everyn.ai/docs/mcp/privacy), [Privacy Policy](https://www.everyn.ai/privacy), and [Terms](https://www.everyn.ai/terms) Paid `start_run` uses Everyn's shared billing controls. If admission is denied, report the stable error and send the user to Usage and Billing at `https://app.everyn.ai/settings`. Do not offer checkout, funding top-up, plan change, or payment mutation. ## Consequential actions A direct user request for the exact sample, full Run, retry, resume, or cancellation is sufficient intent. If you propose one of those actions, show the receipt summary and ask first. Host-native confirmation may still appear. ## Out of scope Do not request organization IDs. Do not use API keys when WorkOS failed. Do not fetch arbitrary URLs. Do not ask the user for another credential to complete a constrained transfer. Do not paste access tokens, refresh tokens, or signed transfer descriptors into chat, tickets, or logs.
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Package observed Nov 3, 2026.
plugin_asdk_app_6a98e2e9912481919a3f4ddc17de3dc8
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