Priorflow Intelligent Agent/Service Selector is a hosted, agent-native selection service at agentopt.app, operated by Vitaly Kantorovich, that ranks curated MCP servers and A2A agents for a natural-language task under stated constraints (reliability, cost, latency, autonomy, maturity) using hybrid structured + semantic matching over a catalog of about 5,000 active / 7,900 total candidates — "registries help agents find candidates; Priorflow helps agents choose among them". The whole product is one JSON operation, POST https://agentopt.app/v1/select, with an open free tier (no key, four fields, top_n <= 5, roughly 20/min · 120/hour · 500/day per IP) and a paid X-API-Key tier sold as Stripe Checkout "select packs" that unlocks rich fields and top_n <= 20. It is described by an A2A agent card at /.well-known/agent-card.json (protocolVersion "1.0", two skills, conformant) whose vendor block is also the only machine-readable contract; the operator states plainly that the host is not an MCP server and runs no A2A task runtime, and publishes no OpenAPI, SDK, terms of service or privacy policy.
Priorflow is listed with 1 API on the APIs.io network. Tagged areas include AI Agents, Agent Discovery, Agent Selection, A2A, and MCP.
Priorflow’s developer surface includes documentation, getting-started guide, pricing, signup flow, authentication, sandbox, and 13 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
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applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Request/Response Examples+7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
One operation: POST /v1/select with JSON {query, top_n?, constraints?, weights?, caller_agent?} returns ordered MCP/A2A candidates with an absolute 0-1 hybrid-fit score (0.55 us...
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