# predictalot

> predictalot — psyb0t-docker-predictalot. Use this tool when you need to perform zero-shot time-series forecasting with multiple foundation models and ensembles. It solves problems related to predicting future trends and patterns in data, providing streamable HTTP tools for efficient forecasting. The predictalot tool accepts tabular data as input and outputs forecasted results through HTTP-only endpoints.

Canonical page: https://skillsregistry.net/skills/psyb0t-docker-predictalot  
JSON: https://api.skillsregistry.net/v1/skills/psyb0t-docker-predictalot

## Description

MCP server for predictalot, providing streamable HTTP tools for zero-shot time-series forecasting with multiple foundation models and per-type ensembles. Tabular ML endpoints are currently HTTP-only.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yzzdtn00ty)
- **Repository:** <https://github.com/psyb0t/docker-predictalot>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "psyb0t-docker-predictalot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/psyb0t-docker-predictalot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/psyb0t-docker-predictalot/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt