classifier.dev bronze

www.classifier.dev

“Zero-shot text classification over plain HTTP. Free without a key; paid plans raise rate limits 10-100x. Sort up to 1,000 texts into your own labels in one call with a calibrated confidence per answer. This service's live agent interface is MCP (Streamable HTTP) at the URL below; A2A message/send is not implemented.

a2a https://www.classifier.dev/mcp talk to it https://www.classifier.dev/.well-known/agent-card.json its card

Checked 5d ago pushNotifications, stateTransitionHistory, streaming

we checked this the operator says this

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate: Issued by Google Trust Services domain-validated
Valid until 9 Jan 2027 as of our check on 9 Nov 2026. A wildcard certificate: its other hosts are invisible here, because CT logs the wildcard, not them.

Control of the hostname was checked; nothing about who operates it.

Key ECDSA P-256, signed ECDSA-SHA256, issued via WE1 under GTS Root R4 — classical, as every publicly trusted certificate is today.

Names on this certificate (3)

classifier.dev, www.classifier.dev, *.www.classifier.dev.
Connection: TLS 1.3 · X25519MLKEM768 — post-quantum hybrid key exchange, agreed with our checker on 9 Nov 2026. What this means
DANE / TLSA: Not verified (TLSA query returned RCodeNameError)
Discovery: Well-known document
This host also publishes an ARD catalog (/.well-known/ai-catalog.json) declaring 7 resources. The catalog's entries are the publisher's claims, not something agenttru.st verified.
AI use policy: Search: yesAI input: yesAI training: yesuse: reference

What this site's robots.txt says about how AI may use its content. Recorded as the operator wrote it, not enforced — these are preferences about use, not access, and agenttru.st only reads the agent's own discovery documents.
AI-facing documents: Publishes /llms.txt — “classifier.dev” a curated map of the site's content for language models

Fetched from this host during verification. Neither document is how this agent was discovered.
First seen: 11 Oct 2026

View verification details

Assurance: bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols: A2A verified by handshake or card fetch, not merely advertised
Hosted in: ? Unknown · Cloudflare, Inc. (AS13335)
The address did not geolocate — usually anycast hosting, where one address answers from many places at once.
Last checked: 5d ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of www.classifier.dev controls every word below.

Classify texts into one label each

Sort up to 1,000 texts into exactly one of your own labels each, with confidence per answer. Use this when you have many items to triage, route, filter or bucket and do not want to read them all: search results before opening them, tickets, log lines, changed files, feedback. Do not use it for fewer than about five items you can already see — just decide. For default Jev, confidence is calibrated (answers >= 0.9 are right ~82-92% of the time; < 0.5 about 30-60%); these measurements do not apply to experimental Laya. so act on the sure ones and look at the rest yourself, or pass tier "smart" to have the unsure ones re-asked of a reasoning model.

classification

Classify several dimensions per text

Classify each text by several named dimensions, such as team, urgency and kind, in one request. Returns a label, confidence, scores and model for each field. At most 1,000 item × dimension decisions; every field counts toward the quota. Use per-dimension instructions to define ambiguous categories.

classification

Tag texts with every label that applies

Like classify_texts, but each text gets every label that applies (possibly none), with an independent 0-1 score per label. Use this for tagging — topics of an article, components touched by a ticket — where one answer is not enough. Set max_labels to cap how many come back per text. Labels scoring >= 0.7 are kept.

classification

Count how many texts fall under each label

Classify up to 1,000 texts and return only a histogram: how many landed on each label, and how many the model was unsure about. Use this when you want the shape of a corpus — what share of feedback is bugs vs praise, how many search results are relevant — without pulling a thousand individual answers into context. Use classify_texts when you need the answer per item.

classification

Find the texts the classifier was unsure about

Classify up to 1,000 texts and return only the ones whose confidence fell under a threshold (default 0.7), each with its two most likely labels. Use this after a bulk classification to decide which items deserve your own attention: the confident answers can be trusted, these are the ones to read. Returns the index of each item so you can map back to your list.

classification

What its catalog declares

From the ARD catalog this host publishes at /.well-known/ai-catalog.json. The operator controls every entry; agenttru.st verified that the catalog exists and parses, and nothing about what the entries say.

classifier.dev MCP server

mcp-server-cardtrust manifest

Zero-shot text classification: sort up to 1,000 texts into your own labels in one call, with a calibrated confidence per answer. No API key.

https://www.classifier.dev/.well-known/mcp/server-card.json

classifier.dev docs MCP server

mcp-server-cardtrust manifest

The classifier.dev documentation as tools: list, read and search the API reference, benchmark, agent skill, CLI, pricing, privacy, terms and MCP setup guide.

https://www.classifier.dev/.well-known/mcp/docs-server-card.json

classifier.dev API

vnd.oai.openapitrust manifest

POST texts and labels, get labels and calibrated confidences back. Up to 1,000 per request, no key.

https://www.classifier.dev/openapi.json

classifier.dev agent feedback

jsontrust manifest

Agents report bugs, documentation mismatches, friction and feature gaps, then poll a receipt.

https://www.classifier.dev/.well-known/agent-feedback.json

classifier.dev agent skill

ai-skill+mdtrust manifest

Sort many texts into your own categories without reading them, using a keyless HTTP API. Use when triaging, filtering, routing or bucketing more items than are worth putting in context.

https://www.classifier.dev/skill.md

classifier.dev agent card

a2a-agent-cardtrust manifest

Discovery card for the classification service; the live interface is MCP.

https://www.classifier.dev/.well-known/agent-card.json

And 1 more entry in the catalog, not shown here.

Technical agent card

Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.

Provider: Michael Ryaboy — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol: a2a
Version: 1.0.0
Card completeness: a2a.proto v1.0 requires eight top-level fields. This card omits:
supportedInterfaces

Missing fields do not affect listing — they describe how much the operator has published, not whether the agent was verified.

View all card details

Capabilities: pushNotifications stateTransitionHistory streaming
Agent card: https://www.classifier.dev/.well-known/agent-card.json

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