PulseLake Simulations

Open the general PulseLake Simulations sign-in for studies, history and account management. Uses only the authenticated user's own workspace; does not run a study or spend credits.

pulselake_open_simulation_studio

Validate canonical dimension ids and values, calculate exact catalogue matches, inspect stratification cells, and surface feasibility, balance, restricted-dimension policy, and warnings before the user approves a panel. Its input schema describes only the requested cohort design; its result also returns panel_configuration, a complete catalog-mode object that pulselake_continue_simulation accepts unchanged. Dataset-backed approval covers the exact filters, strata, deterministic seed, and sample size—not individual records. Use dimension ids and allowed values from pulselake_explore_persona_dimensions or pulselake_recommend_persona_dimensions, not display labels. Never fabricate panel.personas or convert this result to explicit_personas. No study credits are used. Common panel attribute ids: domain (industry or field), role_function (job role), seniority, company_size, region (geography), age_bracket, years_experience, tech_savviness, pref_early_vs_late (adopter type), economic_motivation, primary_language, life_stage. Show the user each attribute's allowed values before they choose; panel questions list them under panel_choices, and an unknown attribute or value is answered with the closest choices and allowed values.

pulselake_preview_persona_cohort

Preview and price one evidence-grounded follow-up question about a completed multi-agent scenario simulation. The conversation handle is tenant/user scoped and no work runs until the user approves the estimate.

pulselake_preview_simulation_follow_up

Validate the complete study contract and return the exact branded execution plan, deliverables, aggregate credit estimate, and short-lived approval token. Does not execute work or reserve credits.

pulselake_preview_simulation

Read a previous study's editable configuration without copying execution approval. Uses only the authenticated user's own workspace; does not run a study or spend credits.

pulselake_copy_simulation

Read an existing HTML report for the sandboxed viewer. Uses only the authenticated user's own workspace; does not run a study or spend credits.

pulselake_read_simulation_report

Read available, reserved and consumed credits. Uses only the authenticated user's own workspace; does not run a study or spend credits.

pulselake_get_simulation_balance

Recommend Persona Research or World Simulation and the best matching study for the user's exact decision using deterministic outcome matching. Returns a recommendation, alternatives, and a focused clarification question when the request is ambiguous. Call this when the user describes a goal without naming a study. No credits are used.

pulselake_recommend_simulation_study

First preview the credit limit for resuming a failed simulation. Show it and obtain explicit user approval, then call again with the returned approval_token and approved=true. Preserves completed stages.

pulselake_resume_simulation

Submit exactly the previewed tenant-scoped study after the user explicitly approves its total credit estimate (or Neural Response's zero-credit daily allowance). Paid methods reserve credits; Neural Response never reserves or debits credits. Returns a job ID and never accepts an unpreviewed or modified study through the approval token. After submission, immediately follow next_tool until the job reports a terminal completed or failed status; never submit a replacement run.

pulselake_run_simulation

Validate and save answers to the guide's typed configuration questions, such as concept or experience, decision objective, audience, panel design, questions, criteria, source, and report settings. Returns remaining questions or, when configuration is complete, the priced frozen plan and execution-approval token in the same response. It does not run the study. Never ask for a separate configuration approval before pricing. For recommended dataset-backed cohorts, submit the catalog-mode panel_configuration returned by pulselake_preview_persona_cohort unchanged (catalogue dimension ids and allowed values, never display labels); individual panel.personas are neither required nor expected. Explicit persona records are required only for constructed or user-defined panels. A rejected answer returns the same question with a plain error and its limits.

pulselake_continue_simulation

Start the guided Neural Response video-research flow. Asks for video, audience profiles, profile confirmation and research-use acknowledgment, then previews zero credits and the two-runs-per-day limit. Does not start inference until explicit approval. Not a persona survey or world simulation.

pulselake_start_neural_response

Start the conversational Persona Research guide after the user confirms this method. Requires only the exact objective; if the research outcome has not been explicitly chosen, PulseLake explains and asks about each supported outcome. It returns the first typed configuration question and does not execute work, reserve credits, or require paid approval.

pulselake_start_persona_research

Legacy compatibility entry point for clients already using the combined simulation_method and study_type contract. For new conversations, use pulselake_start_persona_research or pulselake_start_world_simulation. This starts configuration only and does not execute work or consume credits.

pulselake_start_simulation

Start the conversational World Simulation guide after the user confirms that interacting actors and an evolving scenario are required. Requires only the exact objective; the method and legacy study type are selected automatically. It returns one configuration question and does not execute work, reserve credits, or require paid approval.

pulselake_start_world_simulation

Recommend task-relevant canonical persona dimensions for a specific Simulation Research study and user-supplied context. Returns rationales and allowed values; the user must review the proposed design before cohort preview. Present every recommended attribute with its allowed values so the user chooses from them. No credits are used.

pulselake_recommend_persona_dimensions