Calibrated probability distributions from natural-language questions via REST and MCP.
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Purchase credits using a saved payment method (off-session). Requires a prior Stripe Checkout session to have saved a card. Credits are $0.50 each. Use GET /api/v1/billing/pricing to confirm the current price. Args: credits: Number of credits to purchase (minimum 1). api_key: Your Fermi API key from POST /api/v1/accounts. Required. Returns: Dict with credits_purchased, new_balance, and payment_status. Raises: ToolError: if authentication fails, no payment method is on file, or the card is declined.
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Purchase credits using a saved payment method (off-session). Requires a prior Stripe Checkout session to have saved a card. Credits are $0.50 each. Use GET /api/v1/billing/pricing to confirm the current price. Args: credits: Number of credits to purchase (minimum 1). api_key: Your Fermi API key from POST /api/v1/accounts. Required. Returns: Dict with credits_purchased, new_balance, and payment_status. Raises: ToolError: if authentication fails, no payment method is on file, or the card is declined.
| Argument | Type | Description |
|---|---|---|
| api_key* | string | |
| credits* | integer |
{
"type": "object",
"title": "buy_creditsArguments",
"required": [
"credits",
"api_key"
],
"properties": {
"api_key": {
"type": "string",
"title": "Api Key"
},
"credits": {
"type": "integer",
"title": "Credits"
}
}
}Return a calibrated probability distribution for a natural-language question. Args: question: The natural-language question (e.g. "What will the price of Bitcoin be in 6 months?"). unit: The unit the answer should be expressed in (e.g. "USD", "people", "meters"). target_horizon: When the estimate applies (e.g. "6 months", "2030", "current"). disclaimer_acknowledged: Must be true. Confirms you understand estimates are probabilistic decision-support only, not financial/medical/legal advice. requested_tier_id: Tier (1=fast sync, 2=grounded sync, 3=deep research async). Default 1. context: Optional extra context to condition the estimate. coverage_probability: Width of the confidence interval (0, 1). Default 0.9 (90% CI). source_inputs: Optional list of structured inputs (files, tables) for the model to consider. Each item needs source_type ("qualitative_text", "spreadsheet", or "structured_file") and either content (text) or structured_data (dict/list). callback_url: Optional webhook URL. When set, the completed or failed result is POSTed here with an HMAC signature, so you don't need to poll for async tiers. api_key: Your Fermi API key from POST /api/v1/accounts. Omit to use the anonymous tier. provider: Optional LLM provider selector ("openai" or "anthropic"). When omitted the server uses its configured default. Tier 1 supports both providers; tiers 2-3 currently accept "openai" only. model: Optional model id for the selected provider. Must match the model configured for (tier_id, provider); omit to accept the default. Returns: EstimateSuccessResponse as a dict: estimation_interval, distribution_family, distribution_parameters, point_estimate, reasoning_summary, assumptions, credits_charged, disclaimer, provider, and model. Raises: ToolError: if the estimate service rejects the request (bad tier, out of credits, unknown provider, missing disclaimer acknowledgement).
| Argument | Type | Description |
|---|---|---|
| unit* | string | |
| model | any | |
| api_key | any | |
| context | any | |
| provider | any | |
| question* | string | |
| callback_url | any | |
| source_inputs | any | |
| target_horizon* | string | |
| requested_tier_id | integer | |
| coverage_probability | number | |
| disclaimer_acknowledged* | boolean |
{
"type": "object",
"title": "estimateArguments",
"required": [
"question",
"unit",
"target_horizon",
"disclaimer_acknowledged"
],
"properties": {
"unit": {
"type": "string",
"title": "Unit"
},
"model": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Model",
"default": null
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Api Key",
"default": null
},
"context": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Context",
"default": null
},
"provider": {
"anyOf": [
{
"enum": [
"openai",
"anthropic"
],
"type": "string"
},
{
"type": "null"
}
],
"title": "Provider",
"default": null
},
"question": {
"type": "string",
"title": "Question"
},
"callback_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Callback Url",
"default": null
},
"source_inputs": {
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"additionalProperties": true
}
},
{
"type": "null"
}
],
"title": "Source Inputs",
"default": null
},
"target_horizon": {
"type": "string",
"title": "Target Horizon"
},
"requested_tier_id": {
"type": "integer",
"title": "Requested Tier Id",
"default": 1
},
"coverage_probability": {
"type": "number",
"title": "Coverage Probability",
"default": 0.9
},
"disclaimer_acknowledged": {
"type": "boolean",
"title": "Disclaimer Acknowledged"
}
}
}Submit feedback, a feature request, or a bug report to the Fermi team. An email is sent to the team and a copy is sent to the address you provide. Args: feedback_type: One of "feedback", "feature_request", or "bug". message: Your feedback or request (10-5000 characters). Be specific. sender_email: Your email address. A confirmation copy is sent here. sender_name: Your name (optional). api_key: Your Fermi API key (optional). If provided, your account ID is attached to the message for context. Returns: Confirmation with status "sent". Raises: ToolError: if validation fails or email delivery fails.
| Argument | Type | Description |
|---|---|---|
| api_key | any | |
| message* | string | |
| sender_name | any | |
| sender_email* | string | |
| feedback_type* | string |
{
"type": "object",
"title": "feedbackArguments",
"required": [
"feedback_type",
"message",
"sender_email"
],
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Api Key",
"default": null
},
"message": {
"type": "string",
"title": "Message"
},
"sender_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Sender Name",
"default": null
},
"sender_email": {
"type": "string",
"title": "Sender Email"
},
"feedback_type": {
"enum": [
"feedback",
"feature_request",
"bug"
],
"type": "string",
"title": "Feedback Type"
}
}
}