Priorflow Intelligent Agent/Service Selector

• Select Agents select-agents

  Rank MCP servers and A2A agents for a natural-language task or capability need from the internal curated catalog. Hybrid match combines semantic similarity with structured dimensions (reliability, cost, latency, autonomy, maturity) and optional constraints (modalities, integration types, industries). Call POST /v1/select with JSON body `{query, top_n?, constraints?, weights?, caller_agent?}`. Returns ordered candidates with scores for the caller to select from. Each score is absolute hybrid fit on a 0–1 scale (higher is better; 0.55 usable, 0.72+ strong) — not a relative rank. Free tier (when enabled): id, score, score_band, name. Paid tier (X-API-Key): tags, dimensions (0–1, higher always better; cost higher = cheaper, latency higher = faster), score_breakdown, recommendation, clarifications, source_url, endpoint or connect {kind, url}, homepage_url, endpoint_status (live|stale|unknown from 14-day listing reconfirm). Requires non-empty User-Agent on free calls. Does not invoke or proxy the selected remote MCP/A2A tools for you.

  agent-selector service-selector agent-discovery agent-ranking service-ranking tool-discovery mcp-discovery a2a-discovery mcp a2a matching hybrid-matching semantic-search constraint-based cost-aware latency-aware reliability multi-agent orchestration recruitment
  10 examples

  • Find a reliable MCP server for structured web scraping of product pages
  • Recommend a low-latency code review agent with high reliability
  • Which agents can do SQL analytics over CSV uploads and databases?
  • Rank headless browser automation tools for website testing
  • Select an MCP integration for GitHub repository tools and PRs
  • Find Slack messaging agents suitable for multi-agent orchestration
  • Recommend web search APIs for AI agents under cost and latency constraints
  • Which catalog candidates provide long-term memory or RAG knowledge bases?
  • Rank calendar scheduling and meeting management agents by maturity
  • Select filesystem MCP servers for local file read/write workflows

  In: application/json · Out: application/json

• Describe Catalog describe-catalog

  Describe the curated MCP/A2A candidate catalog and the structured matching dimensions callers can weight (reliability, cost, latency, autonomy, maturity, modalities, integration types). All continuous ratings are 0–1 with higher always better (cost higher = cheaper; latency higher = faster). Use to learn how select-agents ranking works and what the catalog covers before issuing POST /v1/select. Live size also via GET /ready.

  catalog metadata discovery dimensions matching-weights mcp a2a agent-catalog
  4 examples

  • What dimensions can I weight when selecting agents?
  • How large is the catalog and what integrations are covered?
  • Which structured constraints does hybrid matching support?
  • Explain free vs paid select response fields for orchestration

  In: text/plain, application/json · Out: application/json, text/plain

Interfaces

Capabilities

Streaming

No

Push notifications

No

Extended card for signed-in callers

Not declared

Security and formats

Requires

None required

Schemes

apiKey (api_key)

Accepts

application/json, text/plain

Returns

application/json