# Trailspark Documentation > Technical documentation for Trailspark: AI lead scoring for B2B SaaS. Covers setup, signal capture, webhooks, API reference, and integration cookbooks. For product positioning and marketing content, see https://www.trailspark.ai/llms.txt. ## Getting Started Create your account and set up your organization - [Creating Your Account](https://docs.trailspark.ai/getting-started/creating-account): Learn how to create your Trailspark account, set a secure password, and accept team invitations to get started with lead scoring. - [Creating an Organization](https://docs.trailspark.ai/getting-started/creating-organization): Set up a Trailspark organization workspace with a custom subdomain, team settings, and isolated data for your lead scoring needs. - [Switching Between Organizations](https://docs.trailspark.ai/getting-started/switching-organizations): Switch between Trailspark organizations using the header dropdown. Manage multiple workspaces with separate data and permissions. - [Understanding User Roles](https://docs.trailspark.ai/getting-started/understanding-user-roles): Understand Trailspark's five user roles: Owner, Admin, Editor, Viewer, and Billing. Learn permissions, role assignment, and ownership transfer. ## CRM Integration Connect and configure your CRM systems - [CRM Integration Overview](https://docs.trailspark.ai/crm-integration/crm-integration-overview): Connect HubSpot, Salesforce, or Airtable to Trailspark for lead enrichment, buying-group coverage, and CRM destination writes. One active CRM at a time. - [Connecting Salesforce](https://docs.trailspark.ai/crm-integration/connecting-salesforce): Connect Salesforce to Trailspark with a per-org Client ID and OAuth. Create a Connected App, enter the Client ID and authorize. No Client Secret needed. - [Connecting HubSpot](https://docs.trailspark.ai/crm-integration/connecting-hubspot): Connect HubSpot to Trailspark with one-click OAuth authorization. Sync contacts, companies, and deals for lead scoring and buying-group coverage. - [Configuring Field Mapping](https://docs.trailspark.ai/crm-integration/field-mapping): Map Salesforce, HubSpot or Airtable fields to Trailspark's scoring fields: auto-discovery, Refresh Fields, custom fields and buying-group pointers. - [Connecting Airtable](https://docs.trailspark.ai/crm-integration/connecting-airtable): Connect Airtable to Trailspark as a CRM. Authenticate via OAuth or Personal Access Token, then map your Contacts, Companies, and Deals tables. - [Connecting Segment](https://docs.trailspark.ai/crm-integration/connecting-segment): Connect Segment to Trailspark as a signal source. Segment CDP events feed lead scoring and buying-group coverage via a webhook destination and API key. - [Connecting Marketo](https://docs.trailspark.ai/crm-integration/connecting-marketo): Send Marketo activity data to Trailspark via webhook. Direct Marketo integration is no longer offered — webhooks are the supported path for all new connections. - [Connecting Heap](https://docs.trailspark.ai/crm-integration/connecting-heap): Connect Heap segments from Settings > Integrations, and send Heap event data via Heap Webhooks or Heap Connect on BigQuery. ## Webhooks & API Set up webhooks and API access for signal ingestion - [Managing API Keys](https://docs.trailspark.ai/webhooks-api/api-keys): Learn how to create, manage, and secure Trailspark API keys for webhook signal ingestion and product org updates. - [Configuring Webhooks](https://docs.trailspark.ai/webhooks-api/webhook-configuration): Configure Trailspark webhook endpoints for signal ingestion including universal, source-specific, batch, and bulk formats. - [Webhook Payload Format](https://docs.trailspark.ai/webhooks-api/webhook-payload-format): Reference guide for Trailspark webhook payload structure including identifying fields, properties, and signal mapping examples. - [Product Org Updates](https://docs.trailspark.ai/webhooks-api/product-org-updates): Send product workspace data to Trailspark via webhooks including plans, MRR, user counts, and trial status for lead scoring. - [Sending Signals from Marketo](https://docs.trailspark.ai/webhooks-api/marketo-webhook-setup): Step-by-step guide to send Marketo activity data to Trailspark using webhooks and Smart Campaign flow steps for lead scoring. - [Sending Signals from Segment](https://docs.trailspark.ai/webhooks-api/segment-webhook-setup): Set up Segment to send events to Trailspark using the Webhooks (Actions) destination with event filtering and identity resolution. - [JavaScript Tracking](https://docs.trailspark.ai/webhooks-api/javascript-tracking): Add lightweight JavaScript event tracking to your website with Trailspark's tracking script for page views, form submissions, and identity resolution. - [Syncing Product Orgs from a CDP](https://docs.trailspark.ai/webhooks-api/cdp-product-org-setup): Sync product org data to Trailspark from Segment, Rudderstack, or Hightouch using webhooks for account-level lead scoring. ## BigQuery Connector Sync product events, users, and accounts straight from your BigQuery data warehouse - [BigQuery Connector Overview](https://docs.trailspark.ai/bigquery-connector/bigquery-overview): The BigQuery connector syncs product events, users, and accounts straight from your data warehouse into Trailspark on a schedule, no webhook code required. - [Connecting BigQuery](https://docs.trailspark.ai/bigquery-connector/connecting-bigquery): Connect BigQuery to Trailspark with a service account, Sign in with Google, or an uploaded key. Covers Project ID, Region and the two IAM roles to grant. - [Designing Sync Queries](https://docs.trailspark.ai/bigquery-connector/designing-sync-queries): Write BigQuery SQL for Trailspark's Product events, Users and Accounts feeds: column requirements, message_id deduplication and worked SQL patterns. - [Schedules and Run History](https://docs.trailspark.ai/bigquery-connector/schedules-and-run-history): Schedule a BigQuery sync hourly or daily, set its history window, run it on demand, stop a run, and read run history including rejected rows. - [Connecting Heap Data](https://docs.trailspark.ai/bigquery-connector/connecting-heap-data): Bring Heap product analytics into Trailspark through Heap Connect and BigQuery: dataset detection, the three Heap templates, and picking your events. ## Data Enrichment Connect Clay and Reo.dev to fill in company details and third-party intent for accounts you already track - [Data Enrichment Overview](https://docs.trailspark.ai/data-enrichment/data-enrichment-overview): Trailspark enrichment connects your Clay, Reo.dev and PredictLeads accounts to fill in company details and buying intent. It never creates new accounts. - [Connecting Clay](https://docs.trailspark.ai/data-enrichment/connecting-clay): Connect Clay to Trailspark as a two-sided webhook round trip: send a sample row, add waterfall and HTTP API columns, then finish with the ingest token. - [Connecting Reo.dev](https://docs.trailspark.ai/data-enrichment/connecting-reo-dev): Connect Reo.dev to Trailspark: sync accounts into a list, build a segment from that list, and select it under What syncs so developer intent flows back. - [Connecting PredictLeads](https://docs.trailspark.ai/data-enrichment/connecting-predictleads): Connect PredictLeads to Trailspark with your API key and token to fill in company details and spot hiring, funding, launch and technology activity. - [Enrichment Rules & Budget Caps](https://docs.trailspark.ai/data-enrichment/enrichment-rules-and-budget-caps): Choose which accounts Trailspark enriches and set monthly and daily credit caps per provider. Saving is preview-first, and a cap pauses enrichment. - [Third-Party Intent & Field Provenance](https://docs.trailspark.ai/data-enrichment/how-enriched-data-shows-up): How Clay, Reo.dev and PredictLeads data appears in Trailspark: third-party intent is always labeled, and your CRM always wins over enriched details. ## ICP Creation Build your Ideal Customer Profile - [ICP Overview](https://docs.trailspark.ai/icp-creation/icp-overview): How ICPs work in Trailspark: a per-motion scoring model, several priority-ordered ICPs per workspace, and a builder whose steps change with the motion. - [Learning from Won Deals with SparkSense](https://docs.trailspark.ai/icp-creation/icp-sparksense-mode): SparkSense reads your CRM's closed-won deals inside the ICP builder and surfaces company traits, contact titles and buying roles you can cherry-pick. - [Drafting a Field from a CSV](https://docs.trailspark.ai/icp-creation/icp-upload-mode): The Help me fill this option lets you upload a CSV on any text field in the ICP builder to get a suggested value, for criteria that live in a spreadsheet. - [Entering Criteria Directly in the Builder](https://docs.trailspark.ai/icp-creation/icp-manual-mode): Manual entry is the default path through the ICP builder — type your account criteria, contact personas, and signal descriptions directly into each step. - [Eligibility and Qualification](https://docs.trailspark.ai/icp-creation/icp-eligibility-qualification): Eligibility versus Scoring filters in Trailspark's ICP builder: which accounts an ICP covers, and which of those covered accounts are worth scoring. - [Managing Multiple ICPs](https://docs.trailspark.ai/icp-creation/managing-multiple-icps): How Trailspark assigns accounts across multiple ICPs: priority order, Primary ICP vs Also matches, scope conflicts, and per-account ICP overrides. - [Editing an ICP](https://docs.trailspark.ai/icp-creation/editing-an-icp): How to edit an ICP in Trailspark: tab layout, mode-adaptive tabs, and which changes re-score existing accounts versus apply to future runs only. ## Signal Management Configure signal mapping and processing - [How Identity Resolution Works](https://docs.trailspark.ai/signal-management/identity-resolution): Learn how Trailspark resolves anonymous visitors to known leads using identity resolution, cold storage rehydration, and cross-device stitching. - [Understanding Signals](https://docs.trailspark.ai/signal-management/signals-overview): Understand the Trailspark signal pipeline, supported signal sources like Segment and HubSpot, signal types, processing states, and plan limits. - [Understanding Signal Groups](https://docs.trailspark.ai/signal-management/signal-groups): Learn how Trailspark automatically groups similar staged signals by source, event type, and content to help you create mapping rules efficiently. - [Creating Signal Mapping Rules](https://docs.trailspark.ai/signal-management/creating-signal-mapping): Step-by-step guide to creating signal mapping rules in Trailspark, including naming, lead identification, matching conditions, and troubleshooting. - [Editing Signal Mapping Rules](https://docs.trailspark.ai/signal-management/editing-signal-mapping): Learn how to edit, reprocess, and delete signal mapping rules in Trailspark, including the impact of changes on existing and future signals. - [Using the Signal Explorer](https://docs.trailspark.ai/signal-management/signal-explorer): Use the Trailspark Signal Explorer to monitor signal processing, view statistics, trigger manual processing, and troubleshoot common errors. - [Signal Archiving](https://docs.trailspark.ai/signal-management/signal-archiving): Understand Trailspark signal archiving, retention policies, what data is preserved after archival, and how to retrieve archived signals from S3. - [Role Attribution Tab](https://docs.trailspark.ai/signal-management/signal-role-attribution-tab): How to use the Role Attribution tab in Signal Mapping to assign per-role point values for each signal, per ICP. ## Buying Groups Define roles, track account coverage, and act on buying-group signals - [Buying Groups Overview](https://docs.trailspark.ai/buying-groups/buying-groups-overview): How role-aware buying groups work in Trailspark: roles per ICP, people matched by profile or activity, and coverage from Dormant to Forming to Complete. - [Defining roles](https://docs.trailspark.ai/buying-groups/defining-roles): Build a buying-group role set in Trailspark: role fields, targeting, Required versus Optional, minimum contributors and ICP-level matching settings. - [Role attribution](https://docs.trailspark.ai/buying-groups/role-attribution): How Trailspark matches people to buying group roles, Behavioral, Demographic or Mixed, and how the primary role is chosen when someone qualifies for several. - [Account coverage](https://docs.trailspark.ai/buying-groups/account-coverage): Read an account's buying-group coverage in Trailspark: stage, engagement versus known completeness, per-role states, missing roles and the roster. - [Role corrections](https://docs.trailspark.ai/buying-groups/role-corrections): How editors and admins add a role to a person or reject a system-assigned role in Trailspark, and how those corrections hold through re-evaluations. ## Buying Group Motions Configure buying group motions for each go-to-market strategy - [PLG Acquisition Motion](https://docs.trailspark.ai/motions/plg-acquisition): Configure the PLG Acquisition buying group motion in Trailspark to convert self-serve trial signups into first paying customers. - [PLG Expansion Motion](https://docs.trailspark.ai/motions/plg-expansion): Configure the PLG Expansion buying group motion in Trailspark to identify existing customers ready to upgrade from a team plan to enterprise. - [Sales-led Enterprise Motion](https://docs.trailspark.ai/motions/sales-led-enterprise): Configure the Sales-led Enterprise buying group motion in Trailspark to track committee-driven enterprise deals from cold outbound to close. - [Renewal / Retention Motion](https://docs.trailspark.ai/motions/renewal): Configure the Renewal and Retention buying group motion in Trailspark to surface existing customers at risk before their contract end date. - [Cross-sell Motion](https://docs.trailspark.ai/motions/cross-sell): Configure the Cross-sell buying group motion in Trailspark to identify existing customers ready to adopt an adjacent product. - [Signal and Role Attribution](https://docs.trailspark.ai/motions/signal-role-attribution): Attribute signal points to buying group roles in Trailspark: the filter-lens workflow and the split between demographic criteria and signal points. ## Accounts & Dashboard Your day-to-day: the dashboard, browsing accounts and leads, and reading account coverage - [Dashboard](https://docs.trailspark.ai/accounts-dashboard/dashboard): The Trailspark dashboard at a glance: the Target Accounts table, propensity tiers, lead-score distribution, signal processing health, and signal mapping status. - [Browsing accounts](https://docs.trailspark.ai/accounts-dashboard/browsing-accounts): Browse and search your tracked accounts in Trailspark's Companies area: the Organizations table, the Review queue, and the Buying Groups roster. - [Account detail](https://docs.trailspark.ai/accounts-dashboard/account-detail): A tour of the account detail page in Trailspark: overview cards, synced CRM deals, the buying-group hero, and the Lifecycle, Signals and Score tabs. - [Account lifecycle](https://docs.trailspark.ai/accounts-dashboard/account-lifecycle): Read the Lifecycle tab on a Trailspark account: eras under each ICP, current versus frozen-prior badges, and the events that record buying-group changes. - [Browsing leads](https://docs.trailspark.ai/accounts-dashboard/browsing-leads): Filter and read the leads list in Trailspark: score, signal type, dates, industry, segment and job title, plus what the ICP chip and role badges mean. - [Lead detail](https://docs.trailspark.ai/accounts-dashboard/lead-detail): What the lead detail page shows in Trailspark: the score badge, info and stats cards, the Signals, Evaluations, Lead Profile and CRM tabs, and feedback. - [Searching across everything](https://docs.trailspark.ai/accounts-dashboard/search): Use Trailspark's global search to find accounts and leads with Command-K, run advanced attribute searches, and save personal or shared team searches. - [Lists](https://docs.trailspark.ai/accounts-dashboard/lists): Build named, live lists of accounts in Trailspark: filter by firmographics, ICP and product usage, and every list re-runs its filters each time you open it. ## Destinations & Rules Configure destinations, Slack alerts, and per-ICP scoring rules - [Destinations Overview](https://docs.trailspark.ai/destinations-rules/destinations-overview): Push lead scores, AI reasoning, buying-group coverage, and role data from Trailspark to Salesforce, HubSpot, Airtable, and Segment. - [Salesforce Destination](https://docs.trailspark.ai/destinations-rules/salesforce-destination): Set up the Salesforce destination in Trailspark to write lead scores, AI reasoning, propensity ratings, and buying-group coverage back to Salesforce objects. - [HubSpot Destination](https://docs.trailspark.ai/destinations-rules/hubspot-destination): Configure the HubSpot destination in Trailspark to push lead scores, evaluation reasoning, company propensity, and buying-group coverage to HubSpot properties. - [Scoring Rules](https://docs.trailspark.ai/destinations-rules/evaluation-rules): Scoring rules in Trailspark live per ICP in the ICP builder. The standalone Rules page is gone; use the per-ICP Eligibility and Scoring filters instead. - [Airtable Destination](https://docs.trailspark.ai/destinations-rules/airtable-destination): Configure the Airtable destination in Trailspark to push lead scores, evaluation reasoning, company propensity, and buying-group coverage to your Airtable base. - [Segment Destination](https://docs.trailspark.ai/destinations-rules/segment-destination): Configure the Segment destination in Trailspark to push lead scores, evaluation reasoning, and evaluation dates as Segment identify traits. - [Slack Alerts](https://docs.trailspark.ai/destinations-rules/slack-alerts): Connect Slack to Trailspark and configure alerts for lead score changes, account propensity, and buying-group activity, including channel routing by ICP. ## Monitoring & Feedback Track usage and provide feedback to improve evaluation accuracy - [Understanding Usage Tracking](https://docs.trailspark.ai/monitoring-feedback/usage-tracking): Monitor Trailspark usage on Settings > Usage: Evaluated Accounts, the distinct companies scored this period, and your plan's ingested-signal meter. - [Providing Evaluation Feedback](https://docs.trailspark.ai/monitoring-feedback/evaluation-feedback): Submit lead scoring feedback in Trailspark to correct AI evaluations and improve future scoring accuracy through model refinement. - [Model Refinement Process](https://docs.trailspark.ai/monitoring-feedback/model-refinement): Refine your Trailspark scoring model using accumulated feedback to improve lead evaluation accuracy with preview and test capabilities. ## Team Management Manage users and organization settings - [Inviting Team Members](https://docs.trailspark.ai/team-management/inviting-users): Invite team members to your Trailspark workspace by email, manage pending invitations, and troubleshoot common issues. - [Managing Team Members](https://docs.trailspark.ai/team-management/managing-team-members): View team members, change user roles, remove members, and transfer organization ownership in Trailspark. - [Configuring Site Settings](https://docs.trailspark.ai/team-management/site-settings): Configure Trailspark scoring settings: signal requirements, lookback period, confidence thresholds, cooldown rules, the Plan ladder and excluded domains. ## Billing & Plans Manage your subscription and billing - [Plans and Pricing](https://docs.trailspark.ai/billing-plans/plans-overview): Trailspark plans are priced per evaluated account, the distinct companies scored in a billing period. Compare tiers, overage behavior and intervals. - [Upgrading Your Plan](https://docs.trailspark.ai/billing-plans/upgrading-plans): Learn how to upgrade, downgrade, or switch between monthly and yearly billing in Trailspark, how each one is charged, and who can make the change. - [Managing Billing](https://docs.trailspark.ai/billing-plans/billing-management): Manage Trailspark invoices, payment methods, overages and subscription changes from Plans and Billing. Overage is charged per evaluated account. ## Agent Access Let AI agents read and manage your workspace with agent keys and connected agents - [Agent Access Overview](https://docs.trailspark.ai/agent-access/agent-access-overview): Agent Access lets AI agents read and manage your Trailspark workspace through agent keys or a connected agent, using three permission levels you control. - [What Agents Can Do](https://docs.trailspark.ai/agent-access/what-agents-can-do): What an AI agent connected to Trailspark can do: review accounts, deals and signals, build ICPs, connect CRMs and map signals, grouped by permission. - [Managing Agent Keys](https://docs.trailspark.ai/agent-access/agent-keys): Create, view, and revoke Trailspark agent keys so an AI agent can authenticate directly with your workspace using the permissions you choose. - [Connecting an AI Agent to Your Workspace](https://docs.trailspark.ai/agent-access/connect-an-agent): Connect an AI agent like claude.ai, Claude Code, or Cursor to your Trailspark workspace with a sign-in-and-approve flow, then manage connected agents. - [Connecting an AI Agent to These Docs](https://docs.trailspark.ai/agent-access/connect-an-agent-to-docs): Add the Trailspark documentation MCP server to Claude, Cursor, or VS Code so your AI agent can search and read these docs. No account or key needed. ## MCP server - [Trailspark Docs MCP server](https://docs.trailspark.ai/mcp): read-only, Streamable HTTP, no auth. Tools: search_docs, get_doc, list_docs, list_collections, whats_new. ## What's new - [RSS feed](https://docs.trailspark.ai/feed.xml): new features and notable documentation changes. ## Full content index - https://docs.trailspark.ai/getting-started/creating-account - https://docs.trailspark.ai/getting-started/creating-organization - https://docs.trailspark.ai/getting-started/switching-organizations - https://docs.trailspark.ai/getting-started/understanding-user-roles - https://docs.trailspark.ai/crm-integration/crm-integration-overview - https://docs.trailspark.ai/crm-integration/connecting-salesforce - https://docs.trailspark.ai/crm-integration/connecting-hubspot - https://docs.trailspark.ai/crm-integration/field-mapping - https://docs.trailspark.ai/crm-integration/connecting-airtable - https://docs.trailspark.ai/crm-integration/connecting-segment - https://docs.trailspark.ai/crm-integration/connecting-marketo - https://docs.trailspark.ai/crm-integration/connecting-heap - https://docs.trailspark.ai/webhooks-api/api-keys - https://docs.trailspark.ai/webhooks-api/webhook-configuration - https://docs.trailspark.ai/webhooks-api/webhook-payload-format - https://docs.trailspark.ai/webhooks-api/product-org-updates - https://docs.trailspark.ai/webhooks-api/marketo-webhook-setup - https://docs.trailspark.ai/webhooks-api/segment-webhook-setup - https://docs.trailspark.ai/webhooks-api/javascript-tracking - https://docs.trailspark.ai/webhooks-api/cdp-product-org-setup - https://docs.trailspark.ai/bigquery-connector/bigquery-overview - https://docs.trailspark.ai/bigquery-connector/connecting-bigquery - https://docs.trailspark.ai/bigquery-connector/designing-sync-queries - https://docs.trailspark.ai/bigquery-connector/schedules-and-run-history - https://docs.trailspark.ai/bigquery-connector/connecting-heap-data - https://docs.trailspark.ai/data-enrichment/data-enrichment-overview - https://docs.trailspark.ai/data-enrichment/connecting-clay - https://docs.trailspark.ai/data-enrichment/connecting-reo-dev - https://docs.trailspark.ai/data-enrichment/connecting-predictleads - https://docs.trailspark.ai/data-enrichment/enrichment-rules-and-budget-caps - https://docs.trailspark.ai/data-enrichment/how-enriched-data-shows-up - https://docs.trailspark.ai/icp-creation/icp-overview - https://docs.trailspark.ai/icp-creation/icp-sparksense-mode - https://docs.trailspark.ai/icp-creation/icp-upload-mode - https://docs.trailspark.ai/icp-creation/icp-manual-mode - https://docs.trailspark.ai/icp-creation/icp-eligibility-qualification - https://docs.trailspark.ai/icp-creation/managing-multiple-icps - https://docs.trailspark.ai/icp-creation/editing-an-icp - https://docs.trailspark.ai/signal-management/identity-resolution - https://docs.trailspark.ai/signal-management/signals-overview - https://docs.trailspark.ai/signal-management/signal-groups - https://docs.trailspark.ai/signal-management/creating-signal-mapping - https://docs.trailspark.ai/signal-management/editing-signal-mapping - https://docs.trailspark.ai/signal-management/signal-explorer - https://docs.trailspark.ai/signal-management/signal-archiving - https://docs.trailspark.ai/signal-management/signal-role-attribution-tab - https://docs.trailspark.ai/buying-groups/buying-groups-overview - https://docs.trailspark.ai/buying-groups/defining-roles - https://docs.trailspark.ai/buying-groups/role-attribution - https://docs.trailspark.ai/buying-groups/account-coverage - https://docs.trailspark.ai/buying-groups/role-corrections - https://docs.trailspark.ai/motions/plg-acquisition - https://docs.trailspark.ai/motions/plg-expansion - https://docs.trailspark.ai/motions/sales-led-enterprise - https://docs.trailspark.ai/motions/renewal - https://docs.trailspark.ai/motions/cross-sell - https://docs.trailspark.ai/motions/signal-role-attribution - https://docs.trailspark.ai/accounts-dashboard/dashboard - https://docs.trailspark.ai/accounts-dashboard/browsing-accounts - https://docs.trailspark.ai/accounts-dashboard/account-detail - https://docs.trailspark.ai/accounts-dashboard/account-lifecycle - https://docs.trailspark.ai/accounts-dashboard/browsing-leads - https://docs.trailspark.ai/accounts-dashboard/lead-detail - https://docs.trailspark.ai/accounts-dashboard/search - https://docs.trailspark.ai/accounts-dashboard/lists - https://docs.trailspark.ai/destinations-rules/destinations-overview - https://docs.trailspark.ai/destinations-rules/salesforce-destination - https://docs.trailspark.ai/destinations-rules/hubspot-destination - https://docs.trailspark.ai/destinations-rules/evaluation-rules - https://docs.trailspark.ai/destinations-rules/airtable-destination - https://docs.trailspark.ai/destinations-rules/segment-destination - https://docs.trailspark.ai/destinations-rules/slack-alerts - https://docs.trailspark.ai/monitoring-feedback/usage-tracking - https://docs.trailspark.ai/monitoring-feedback/evaluation-feedback - https://docs.trailspark.ai/monitoring-feedback/model-refinement - https://docs.trailspark.ai/team-management/inviting-users - https://docs.trailspark.ai/team-management/managing-team-members - https://docs.trailspark.ai/team-management/site-settings - https://docs.trailspark.ai/billing-plans/plans-overview - https://docs.trailspark.ai/billing-plans/upgrading-plans - https://docs.trailspark.ai/billing-plans/billing-management - https://docs.trailspark.ai/agent-access/agent-access-overview - https://docs.trailspark.ai/agent-access/what-agents-can-do - https://docs.trailspark.ai/agent-access/agent-keys - https://docs.trailspark.ai/agent-access/connect-an-agent - https://docs.trailspark.ai/agent-access/connect-an-agent-to-docs --- Last updated: 2026-09-19