Video Generation Cost Estimator
Video generation cost estimates across providers, with provenance, freshness, and confidence.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"agent-data-platform": {
"url": "https://agent-data-platform.onrender.com/mcp"
}
}
}Remote endpoints
https://agent-data-platform.onrender.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
⚪estimate_video_cost(duration_seconds, count, resolution, mode, require_audio)
Estimate the USD cost of generating AI video across providers (fal.ai, Runway, Google Veo, Kling, Luma, Higgsfield). Returns estimates sorted cheapest-first, each with provenance (source_url), freshness (verified_at), and a confidence level. Credit-economy providers are normalized to USD. Clip-length limits are handled by assuming stitched generations (noted per estimate).
Input Schema
{
"type": "object",
"properties": {
"duration_seconds": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 3600,
"description": "Length of the video to generate, in seconds"
},
"count": {
"description": "Number of videos (default 1)",
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"resolution": {
"description": "Required output resolution; omit for any",
"type": "string",
"enum": [
"360p",
"540p",
"720p",
"1080p",
"4k"
]
},
"mode": {
"description": "Generation mode; omit for any",
"type": "string",
"enum": [
"text-to-video",
"image-to-video"
]
},
"require_audio": {
"description": "Only include models with native audio support",
"type": "boolean"
}
},
"required": [
"duration_seconds"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢compare_providers(provider, model)
List raw, provenance-backed pricing rows for AI video generation providers and models. Every row carries source_url and verified_at. Optionally filter by provider slug (e.g. "fal", "google", "kling", "luma", "runway", "higgsfield") or model slug.
Input Schema
{
"type": "object",
"properties": {
"provider": {
"description": "Provider slug to filter by",
"type": "string"
},
"model": {
"description": "Model slug to filter by",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡get_pricing_changes(since)
Retrieve the append-only change log of pricing updates, model deprecations, and verification events. Useful for detecting price changes since a previous check. Defaults to the last 30 days.
Input Schema
{
"type": "object",
"properties": {
"since": {
"description": "ISO 8601 timestamp; return changes at or after this time",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence