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Tickerr — Live AI Tool Status & API Pricing

get_free_tier

Discover free tiers across AI tool categories including LLM APIs, coding assistants, and image generation. Compare and select the best free plan for your needs.

Instructions

Find the best free plans across AI tools, grouped by category (LLM APIs, coding assistants, image generation, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoFilter by category slug — e.g. "llm", "coding", "image", "video"

Implementation Reference

  • FreeTierTool interface defining the shape of a free-tier tool object, used as the return type for get_free_tier's API call.
    interface FreeTierTool {
      slug: string; name: string; category_slug: string; tier_name: string
      paidFrom: number | null
      limits: { limit_key: string; limit_value: string; limit_unit: string | null; notes: string | null }[]
    }
  • src/index.ts:285-325 (registration)
    Registration of the 'get_free_tier' tool on the MCP server via server.tool(), with Zod schema for optional 'category' filter.
    server.tool(
      'get_free_tier',
      'Find the best free plans across AI tools, grouped by category (LLM APIs, coding assistants, image generation, etc.).',
      {
        category: z.string().optional().describe('Filter by category slug — e.g. "llm", "coding", "image", "video"'),
      },
      async ({ category }) => {
        const data = await fetchJSON<{ by_category: Record<string, FreeTierTool[]>; total: number }>('/free-tiers')
    
        let grouped = data.by_category
        if (category) {
          const q = category.toLowerCase()
          grouped = Object.fromEntries(
            Object.entries(grouped).filter(([cat]) => cat.toLowerCase().includes(q))
          )
        }
    
        const entries = Object.entries(grouped).sort()
        if (!entries.length) {
          return { content: [{ type: 'text' as const, text: `No free tiers found${category ? ` for category "${category}"` : ''}.` }] }
        }
    
        const lines: string[] = [`Free plans across ${data.total} AI tools:\n`]
        for (const [cat, tools] of entries) {
          lines.push(`## ${cat}`)
          for (const t of tools) {
            const paid = t.paidFrom ? ` (paid from $${t.paidFrom}/mo)` : ''
            lines.push(`\n**${t.name}**${paid}`)
            for (const l of t.limits) {
              const unit = l.limit_unit ? ` ${l.limit_unit}` : ''
              const note = l.notes ? ` — ${l.notes}` : ''
              lines.push(`  • ${l.limit_key}: ${l.limit_value}${unit}${note}`)
            }
          }
          lines.push('')
        }
    
        lines.push('Full free tier guide: https://tickerr.ai/free')
        return { content: [{ type: 'text' as const, text: lines.join('\n') }] }
      }
    )
  • Handler function for get_free_tier: fetches free tiers from tickerr.ai/free-tiers API, filters by optional category, formats output as text.
      async ({ category }) => {
        const data = await fetchJSON<{ by_category: Record<string, FreeTierTool[]>; total: number }>('/free-tiers')
    
        let grouped = data.by_category
        if (category) {
          const q = category.toLowerCase()
          grouped = Object.fromEntries(
            Object.entries(grouped).filter(([cat]) => cat.toLowerCase().includes(q))
          )
        }
    
        const entries = Object.entries(grouped).sort()
        if (!entries.length) {
          return { content: [{ type: 'text' as const, text: `No free tiers found${category ? ` for category "${category}"` : ''}.` }] }
        }
    
        const lines: string[] = [`Free plans across ${data.total} AI tools:\n`]
        for (const [cat, tools] of entries) {
          lines.push(`## ${cat}`)
          for (const t of tools) {
            const paid = t.paidFrom ? ` (paid from $${t.paidFrom}/mo)` : ''
            lines.push(`\n**${t.name}**${paid}`)
            for (const l of t.limits) {
              const unit = l.limit_unit ? ` ${l.limit_unit}` : ''
              const note = l.notes ? ` — ${l.notes}` : ''
              lines.push(`  • ${l.limit_key}: ${l.limit_value}${unit}${note}`)
            }
          }
          lines.push('')
        }
    
        lines.push('Full free tier guide: https://tickerr.ai/free')
        return { content: [{ type: 'text' as const, text: lines.join('\n') }] }
      }
    )
  • Generic fetchJSON helper used by get_free_tier handler to call the tickerr.ai API.
    async function fetchJSON<T>(path: string): Promise<T> {
      const res = await fetch(`${BASE_URL}${path}`, { headers: { 'User-Agent': UA } })
      if (!res.ok) {
        const text = await res.text().catch(() => '')
        throw new Error(`tickerr API ${res.status}: ${text.slice(0, 200)}`)
      }
      return res.json() as Promise<T>
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. It only states it 'finds' data, but does not disclose that it is read-only, requires no authentication, or any other traits. For a non-destructive query, more context is expected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is front-loaded with the core purpose. No unnecessary words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description explains the tool's purpose and parameter context well. However, it does not describe the return format or that the tool filters only free plans, which is implicit from the name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'category' is described in the schema with slug examples. The description adds value by explaining that results are grouped by category and listing example categories (LLM, coding, image, video), which goes beyond the schema's 'slug' description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool finds best free plans grouped by category, with specific examples (LLM APIs, coding assistants, etc.). This distinguishes it from sibling tools like get_api_pricing (general pricing) and list_tools (all tools).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like compare_pricing or get_api_pricing. The description implies use for free plans but does not explain when not to use it or mention alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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