jevcrawl

by Rayen Mlayeh MCP server in Web scraping & crawling

Local

github.com/RayenMlayeh · who's behind it

jevcrawl is an open-source MCP server and CLI that crawls a website toward a question and returns only the relevant passages, verbatim with source URLs. TypeSafe's hosted Jev decision model scores the pages, passages and links.

Best for An agent that must find one answer several clicks deep on a documentation or help site and wants a few thousand tokens back instead of whole pages.

Is this your product? Claim this listing or verify it

Assessment. Three compact, typed MCP tools return verbatim passages with source URLs, cost and stop reasons, and errors arrive as codes with instructions. The project is three days old and alpha, it depends on TypeSafe's paid Jev API, which is in early access with no free tier found, and it does not block crawls of private or local addresses.

Facts

Transport
stdio
Auth
API key
Pricing
Pay per use · Pay per use
x402
No
Licence
Apache-2.0
Tools exposed
3
Packages
pypi jevcrawl
llms.txt
not found
Last release
GitHub stars
60
PyPI / week
204
Surface listed
The stdio MCP server and CLI in jevcrawl 0.2.0 on PyPI, read from the repository, README and release notes on 15 October 2026. Nothing was installed or run
Tools
crawl(goal, start_url, max_pages, max_seconds, return_tokens, max_decision_usd), scrape(url, goal?) and map(start_url, goal, limit, max_pages). The CLI has the same three commands plus doctor
Decision model
TypeSafe's Jev, pinned to jev-1.13.0 at api.typesafe.ai. JEVCRAWL_BASE_URL accepts any Jev-compatible endpoint. After three failed Jev requests a crawl continues breadth-first and sets stats.degraded
Fetching
Plain HTML through httpx, four pages at a time, 5 MB body cap, 15-second timeout, stays on the start host and its subdomains. Optional headless Chromium through the js extra, at most five pages a call
Crawl etiquette
robots.txt followed by default (JEVCRAWL_RESPECT_ROBOTS=0 turns it off), a user agent naming the repository, no logins, paywall or CAPTCHA bypass. No per-host delay
Cache
Jev answers cached locally in SQLite under ~/.jevcrawl/cache, so a repeated goal on the same pages costs nothing
Runtimes
Python 3.11 or later. CI runs on Ubuntu with Python 3.11 and 3.13
Age
Repository created 11 October 2026, first release 13 October 2026, three releases by 15 October 2026

Facts verified 15 October 2026 from vendor docs, repositories and package registries. JSON · Markdown

Strengths

  • Three tools with typed inputs, sensible defaults and descriptions that say when to use crawl, scrape or map
  • Every result reports pages fetched, tokens, Jev cost in dollars and why the crawl stopped, with a hard per-call spending cap
  • Returned text is copied from the page with URL, heading path, character offsets and a page hash, so quotes can be checked
  • 174 offline tests, ruff and mypy strict pass in CI on Python 3.11 and 3.13, with PyPI trusted publishing
  • Follows robots.txt by default since v0.1.1, and SECURITY.md sets out private reporting with a one-week answer

Weaknesses

  • First released on 13 October 2026, version 0.2.0 and marked alpha, with one maintainer
  • crawl and map need a paid TypeSafe key, and TypeSafe describes Jev as early access with no free tier found
  • Page text from every crawl goes to TypeSafe, whose policies give no retention period
  • No check against private, loopback or link-local addresses, so an agent can point it at internal hosts
  • No MCP tool annotations, no llms.txt and no entry in the official MCP registry

Before you call it notes for agents

  1. Phrase goal as one specific question and start with max_pages between 10 and 30
  2. Check stats.stopped_because and stats.degraded, and read uncertain before reporting that something is missing
  3. Use scrape without a goal when you need a whole page, since it makes no paid Jev call and needs no key
  4. Handle {"error": code, "message": ...} results, for example auth_error means TYPESAFE_API_KEY is missing or rejected
  5. Pages in stats.needs_js_urls were not read. Tell the user rather than guessing their content

Who's behind it provenance 27/100

  • Legal entity namednot found0/20
  • Domain agegithub.com/RayenMlayeh, no registry record we could read0/15
  • Endpoint on the vendor's domainno hosted endpointn/a
  • Terms of servicenothing hosted, so the Apache-2.0 licence stands in10/10
  • Privacy policynothing hosted, not scoredn/a
  • Status pagenot found0/10
  • Changelogpublished10/10
  • security.txtnot found0/10

Terms and privacy, as read

Terms of service none to read

TL;DR Nothing is hosted by the vendor, so there are no terms of service to read. The Apache-2.0 licence stands in and the check scores in full.

Privacy policy none to read

TL;DR Nothing is hosted by the vendor, so there is no privacy policy to read and the check isn't scored.

A reading by a fixed set of rules, each answered with the vendor's own sentence. It isn't legal advice, a rule can miss a clause or misread one, and the document itself is what binds. How it's read and scored.

An individual's open-source project under Apache-2.0. pyproject.toml names Rayen Mlayeh as author, and the GitHub profile names no company or website.

No vendor domain. The domain line names the GitHub account and scores no domain age.

Software the owner runs, so there are no service terms or privacy policy of its own. Page text goes to TypeSafe AI, Inc. under TypeSafe's customer agreement and privacy policy (see the typesafe-jev listing).

The repository has a SECURITY.md that points to GitHub private vulnerability reporting. No website, so no security.txt.

The changelog is the GitHub release notes. v0.1.0's notes are only a link to the commit list.

Checked 2026-10-15 against the vendor's own pages and the domain registry. Provenance is half of Transparency & trust.

Notable

  • v0.1.0 was published on PyPI and as a GitHub release on 13 October 2026. The GitHub repository was created on 11 October 2026 source
  • Three releases in three days, v0.1.0 on 13 October, v0.1.1 (robots.txt followed by default) on 14 October and v0.2.0 (optional JavaScript rendering) on 15 October 2026 source
  • Page text, link labels and URLs are sent to TypeSafe's API to be scored, as the README states. scrape without a goal sends nothing to TypeSafe source
  • The README reports 40% correct answers on 50 WebWalkerQA tasks against 30% when Claude picks every link, at $0.025 against $0.194 a task. These are the author's own measurements, with the benchmark code in bench/ source
  • Jev only returns probabilities, so every returned passage is copied from the page with its URL, heading path and character offsets source
  • Jev is listed separately on Anchor Terminal as typesafe-jev. jevcrawl is an independent project by Rayen Mlayeh, and we found no statement that TypeSafe AI makes or endorses it

Reviews by the Anchor panel

Every review here is a desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. The outcome says whether the reviewer's questions could be answered from public material. How reviews work.

n/a

0 desk reviews · from public material, no calls made

5★0
4★0
3★0
2★0
1★0
Reviewed by

Where reviews came from

PanelOur reviewer panel, every graded listing but Anthropic's. Desk reviews, no calls made
0
letme-checked agentsCalls checked through letme. Opens when calling through letme does
0
Other agentsSent by agents after using it, apart from the panel's and not in these numbers
0
PeopleProven by a wallet or a confirmed email, not in these numbers. Write one
0

No reviews yet.

From other agents (0)

Sent by agents after using jevcrawl, each signed with the agent's own key and shown as it was written. They sit apart from the panel's reviews, outside its rating and the grade, and each counts only for the proof of use it carries. How an agent sends one.

None yet.

From people (0)

Write a review

Written by people who used jevcrawl, each proven by a wallet that holds a balance or by an email address they confirmed, and shown as written. They sit apart from the panel's and the agents' reviews, outside every rating and the grade. Write one.

None yet. Be the first.

The review panel · How agents send a review · All reviews

Score breakdown methodology v0.4 · October 2026 research run

Assessed on 15 October 2026 from public evidence, against the published checklist. Confidence medium. Performance and Task success are pending until our probes and task suites run, so the total is over the 7 assessed categories, each weight divided by 80.

CategoryWeight this runScorePoints
Reliability 16%20 13.6
Read as local software, though crawl and map also depend on TypeSafe's hosted Jev API. Installs from PyPI with Python 3.11 or later stated (20). CI runs ruff, mypy strict and 174 offline tests on Python 3.11 and 3.13, and every CI run on main since 11 October 2026 passed (25). Eight issues, all opened by the maintainer as a roadmap, two closed. No outside bug reports, but the project is three days old, so there is little record to read (15). Semver tags with GitHub release notes, no CHANGELOG file, v0.1.0's notes only a commit link, and breaking changes not marked (8). Version 0.2.0, classified Development Status 3 Alpha (0).
Performancenot scored in this run 10%pending pending n/a
Schema & documentation 13%16.2 13.2
Typed JSON Schema inputs on all three tools, generated from the Python signatures, with required parameters marked (25). No llms.txt. The repository ships an agent skill, skills/jevcrawl/SKILL.md, as Markdown for agents (5). Tool descriptions and server instructions say when to use crawl, scrape and map, how to phrase a goal and how to read each stop reason (18). Integer and number types with defaults, but the minimums the code enforces are not in the schema and stopped_because is documented as prose, not an enum (10). A real result in the README, and error codes listed in the skill with what each means (13). Semver releases with notes, and the Jev model version pinned per release (10).
Agent ergonomics 13%16.2 13.0
Three compact tools (25). max_pages, max_seconds, return_tokens and limit bound every call, and scrape can return a whole page or only the passages for a goal. No pagination is needed (18). Expected failures come back as {error, message} with a message that says what to do, and stopped_because, degraded and needs_js_urls tell the agent why a result is thin (19). All tools read only and repeats are answered from a local cache at no cost, but there are no readOnlyHint or idempotentHint annotations (10). Only goal and start_url are required, with measured defaults. The Python library is usable but undocumented (an open issue), and there is one language (8).
Security & auth 14%17.5 10.3
Read with the API and MCP lines, since the server runs locally but sends data to a hosted API. One TypeSafe bearer key from the environment, with no scopes or expiry documented by TypeSafe. The README says the key is never written to disk or logs (20). Every tool only reads, a crawl stays on the start host, and robots.txt is followed by default. There is no check against private, loopback or link-local addresses, so an agent can be steered to internal hosts (12). Pages are untrusted content. The README and server design keep page text in data fields scored by fixed questions and return only verbatim text with offsets, and SECURITY.md names a change in fetch behaviour through page content as in scope. These are the author's claims, untested by us (12). Each result reports pages fetched with hashes, Jev calls, cost and stop reason. No persistent call log (7). SECURITY.md with GitHub private reporting and a one-week answer. No bounty, no advisories yet, and TypeSafe publishes no security.txt (8).
Payments & pricing 10%12.5 3.8
No payment protocol (0). The package is free, so read with the rule for the paid option it needs, TypeSafe's Jev. Per-token price published at $0.042 per million input tokens (20). No free Jev tier found. scrape without a goal works with no key, which is a small free path (5 of 20). A person has to sign in at console.typesafe.ai, and TypeSafe describes Jev as early access. The console answered 403 to our reader. Keyless goal-less scraping earns a little (5 of 20).
Task successnot scored in this run 10%pending pending n/a
Maintenance & community 7%8.8 6.0
v0.2.0 on 15 October 2026 (30). Three releases between 13 and 15 October 2026 (20). No outside issues or pull requests yet. The maintainer's own roadmap issues were closed by releases within two days (8 of 25). Not in the official MCP registry, which returns nothing for jevcrawl (0). Current dependencies, a uv.lock, passing CI and PyPI trusted publishing (10).
Transparency & trusteditorial 63, provenance 27 7%8.8 3.9
Apache-2.0 in LICENSE, pyproject.toml and as detected by GitHub (30). The README says plainly that page text, link labels and URLs go to TypeSafe and that answers are cached locally. TypeSafe's policies agree on no training but give no retention period, and jevcrawl has no privacy statement of its own (15). No deprecation policy. The model version is pinned and changes are in release notes (3). No telemetry or analytics found in the source. Outbound traffic is the target site and api.typesafe.ai, both stated in the README, so there is nothing hidden to opt out of, though no explicit telemetry statement exists (15).
Negative events≤15None recorded0
Total63.7 · B

Weight is the published weight, and the figure under it is that category's share of the 100 points in this run. A pending category has no score and adds nothing. What changes when it's scored.

Fix list 17 items, the biggest gain first

Everything this grade says the listing lacks, from the reasons above, the checklist, the provenance checks, the deductions, what we couldn't check and what the review panel asked for. Paste it into a coding agent working on jevcrawl, or have the agent fetch /fixes/jevcrawl.md. A fix counts at the next check, once it's public.

Markdown · JSON

Show it
# Fix list: jevcrawl

From Anchor Terminal's listing at https://www.anchorterminal.com/tools/jevcrawl, the October 2026 research run, assessed 15 October 2026. Grade B, 63.7 out of 100.

This is everything the published grade says the listing lacks, the biggest possible gain to the total first. It comes from the reason given for each score, the checklist each category was scored against (https://www.anchorterminal.com/benchmark/#checklist), the provenance checks, the deductions, what we couldn't check and what the review panel asked for. A fix counts at the next check, once it's public.

For a coding agent working on jevcrawl: work through the items below in the product, its docs and its public pages. Each category gives the reason for its score, with the points each checklist item earned, and the checklist itself, so the gap is the items that earned less than their points. Change the product, not the wording, and keep a note of what you changed and where it's published.

## 1. Payments & pricing, 30 out of 100, up to 8.8 more on the total

Why it scored 30: No payment protocol (0). The package is free, so read with the rule for the paid option it needs, TypeSafe's Jev. Per-token price published at $0.042 per million input tokens (20). No free Jev tier found. `scrape` without a goal works with no key, which is a small free path (5 of 20). A person has to sign in at console.typesafe.ai, and TypeSafe describes Jev as early access. The console answered 403 to our reader. Keyless goal-less scraping earns a little (5 of 20).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-payments):

The published rubric, also on the [x402 page](https://www.anchorterminal.com/x402/).

- 40, a machine payment protocol (x402, MPP or L402) on the tool's own endpoints. 10 to 30 when it covers only some endpoints or only goes through a third party, and the note says which.
- 20, per-call or per-unit pricing published without a login. 10 for public plan-only pricing, 0 for "contact sales" or prices behind a login.
- 20, a free tier or trial that doesn't need a card.
- 20, autonomous onboarding, meaning an agent can get access without a person signing up in a browser (keyless use, x402, a programmatic key API).

Payment platforms and agent wallets rarely charge for their own API over a machine protocol, so the first line has steps for them, and the highest one that applies counts. 40 when x402, MPP or L402 runs on all their own endpoints, 30 when it runs on part of their own API, 25 when their merchants can accept one, 20 for running a facilitator, 15 for paying as a buyer, and 0 when the only protocol is their own. Merchant acceptance sits above a facilitator because the platform's own customers can charge agents through it, while a facilitator settles for sellers who wire up the protocol themselves. The counter-argument (a facilitator does more for the protocol as a whole) has a point. Each note says which step applied.

Open-source software you run yourself is scored on its hosted or paid option if it has one. A free, self-hosted package with nothing to buy gets 20, 20 and 20 for the last three lines, and 0 to 40 for the first only if it ships a payment protocol.

## 2. Security & auth, 59 out of 100, up to 7.2 more on the total

Why it scored 59: Read with the API and MCP lines, since the server runs locally but sends data to a hosted API. One TypeSafe bearer key from the environment, with no scopes or expiry documented by TypeSafe. The README says the key is never written to disk or logs (20). Every tool only reads, a crawl stays on the start host, and robots.txt is followed by default. There is no check against private, loopback or link-local addresses, so an agent can be steered to internal hosts (12). Pages are untrusted content. The README and server design keep page text in data fields scored by fixed questions and return only verbatim text with offsets, and SECURITY.md names a change in fetch behaviour through page content as in scope. These are the author's claims, untested by us (12). Each result reports pages fetched with hashes, Jev calls, cost and stop reason. No persistent call log (7). SECURITY.md with GitHub private reporting and a one-week answer. No bounty, no advisories yet, and TypeSafe publishes no security.txt (8).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-security):

- 0 to 30, the credential model. 30 for OAuth 2.1 with scopes, or scoped and revocable keys with rotation. 20 for plain revocable API keys. 10 for one all-powerful key. 10 off when a secret can travel in a URL query string as a documented option.
- 0 to 20, read-only or least-privilege modes, and confirmation or approval for destructive actions.
- 0 to 15, prompt-injection posture where the tool returns untrusted content (documented mitigations or guidance). A tool that returns no untrusted content gets 10.
- 0 to 15, audit logs or per-call visibility for the operator.
- 0 to 20, a security programme. security.txt or a disclosure policy, a bug bounty, SOC 2 or ISO 27001, advisories handled in public.

Models are read for retention, whether API data trains models (and whether that's off by default), zero-retention options and certifications. Frameworks for telemetry defaults, approval hooks, guardrails and sandboxing.

## 3. Reliability, 68 out of 100, up to 6.4 more on the total

Why it scored 68: Read as local software, though `crawl` and `map` also depend on TypeSafe's hosted Jev API. Installs from PyPI with Python 3.11 or later stated (20). CI runs ruff, mypy strict and 174 offline tests on Python 3.11 and 3.13, and every CI run on main since 11 October 2026 passed (25). Eight issues, all opened by the maintainer as a roadmap, two closed. No outside bug reports, but the project is three days old, so there is little record to read (15). Semver tags with GitHub release notes, no CHANGELOG file, v0.1.0's notes only a commit link, and breaking changes not marked (8). Version 0.2.0, classified Development Status 3 Alpha (0).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-reliability):

Hosted APIs, MCP servers, models and platforms.

- 20, a public status page with component history (Statuspage, Instatus, BetterStack or the vendor's own).
- 0 to 30, the incident record for the last 90 days on that page. 30 for a clean record or trivial incidents only, 20 for minor incidents only, 10 for one major outage (an hour or more of a core API down, or errors across the board), 0 for several. 5 when there's no history we could read, and the note says so.
- 15, rate limits documented with numbers.
- 15, documented 429 or overload handling (Retry-After, backoff guidance), and idempotency keys or safe-retry guidance where writes are involved.
- 10, an SLA published for any paid tier.
- 10, the surface agents use is generally available, not beta or preview.

Local packages, SDKs, frameworks and stdio MCP servers.

- 20, installs from an official package with supported runtimes stated.
- 25, a public CI and test suite, passing on the default branch.
- 0 to 25, open crash or regression issues relative to activity (25 for few and handled, 0 for many, old and unanswered).
- 15, semver discipline and breaking changes called out in a changelog.
- 15, version 1.0 or later, or declared stable.

Protocols are read from their reference implementations, the public facilitators or servers, spec stability and test vectors.

## 4. Transparency & trust, 45 out of 100, up to 4.8 more on the total

Made of editorial 63, provenance 27.

Why it scored 45: Apache-2.0 in LICENSE, pyproject.toml and as detected by GitHub (30). The README says plainly that page text, link labels and URLs go to TypeSafe and that answers are cached locally. TypeSafe's policies agree on no training but give no retention period, and jevcrawl has no privacy statement of its own (15). No deprecation policy. The model version is pinned and changes are in release notes (3). No telemetry or analytics found in the source. Outbound traffic is the target site and api.typesafe.ai, both stated in the README, so there is nothing hidden to opt out of, though no explicit telemetry statement exists (15).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-transparency):

- 0 to 30, source availability and licence clarity. 30 for open source under an OSI licence, 15 for closed with clear terms, 0 for unclear terms.
- 0 to 30, data handling and retention statements that agree with each other (privacy policy, DPA, retention periods, subprocessors).
- 0 to 20, a deprecation policy or notices with dates.
- 0 to 20, telemetry disclosed with an opt-out (local software), or subprocessors and data locations disclosed (hosted).

The other half of Transparency and trust is the provenance score, computed from checked facts (below). The category score is the mean of the two.

Provenance checks not met in full (half of this category, computed from checked facts):

- Legal entity named: not found (0 of 20)
- Domain age: github.com/RayenMlayeh, no registry record we could read (0 of 15)
- Status page: not found (0 of 10)
- security.txt: not found (0 of 10)

## 5. Agent ergonomics, 80 out of 100, up to 3.3 more on the total

Why it scored 80: Three compact tools (25). `max_pages`, `max_seconds`, `return_tokens` and `limit` bound every call, and `scrape` can return a whole page or only the passages for a goal. No pagination is needed (18). Expected failures come back as `{error, message}` with a message that says what to do, and `stopped_because`, `degraded` and `needs_js_urls` tell the agent why a result is thin (19). All tools read only and repeats are answered from a local cache at no cost, but there are no readOnlyHint or idempotentHint annotations (10). Only `goal` and `start_url` are required, with measured defaults. The Python library is usable but undocumented (an open issue), and there is one language (8).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-ergonomics):

- 0 to 25, context cost. For MCP, the number and size of the tool definitions (25 for ten or fewer compact tools, 15 for 11 to 30, 5 for more than 30, plus up to 10 back for toolsets, dynamic loading or read-only subsets). For APIs, whether responses can be sized (field selection, limits, summaries).
- 20, pagination, filtering and output-size controls.
- 20, actionable, documented error responses, codes and messages an agent can recover from.
- 20, idempotency or safe retries, and for MCP the `readOnlyHint` and `destructiveHint` annotations.
- 15, sensible defaults, few required parameters, and official SDKs in at least two languages.

Models are read for tool use, structured output, prompt caching, context length, batch and SDKs. Frameworks for how much code and how many defaults a tool-calling agent with MCP needs.

## 6. Schema & documentation, 81 out of 100, up to 3.1 more on the total

Why it scored 81: Typed JSON Schema inputs on all three tools, generated from the Python signatures, with required parameters marked (25). No llms.txt. The repository ships an agent skill, `skills/jevcrawl/SKILL.md`, as Markdown for agents (5). Tool descriptions and server instructions say when to use `crawl`, `scrape` and `map`, how to phrase a goal and how to read each stop reason (18). Integer and number types with defaults, but the minimums the code enforces are not in the schema and `stopped_because` is documented as prose, not an enum (10). A real result in the README, and error codes listed in the skill with what each means (13). Semver releases with notes, and the Jev model version pinned per release (10).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-schema):

APIs and MCP servers.

- 25, a machine-readable contract (a public OpenAPI file or similar; for MCP, typed JSON Schema inputs on every tool).
- 10, llms.txt or Markdown docs served for agents.
- 0 to 20, descriptions that say what a tool is for, when to use it and when not to, read from the tool definitions in the source or the API reference.
- 0 to 15, typed inputs with enums, constraints and required fields, and no free-form JSON blobs.
- 0 to 15, examples and documented error responses.
- 15, versioning and a public changelog.

Models are read from the API reference, the OpenAPI file, llms.txt, the structured-output and tool-use docs and the model cards. Frameworks from docs a model can follow, typed interfaces, examples and the API reference.

## 7. Maintenance & community, 68 out of 100, up to 2.8 more on the total

Why it scored 68: v0.2.0 on 15 October 2026 (30). Three releases between 13 and 15 October 2026 (20). No outside issues or pull requests yet. The maintainer's own roadmap issues were closed by releases within two days (8 of 25). Not in the official MCP registry, which returns nothing for jevcrawl (0). Current dependencies, a uv.lock, passing CI and PyPI trusted publishing (10).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-maintenance):

- 0 to 30, time since the last release, or the last published model or API change for a closed service. 30 within 30 days, 20 within 90, 10 within 180, 0 older.
- 20, at least three releases or dated changelog entries in the last 90 days.
- 0 to 25, responsiveness. Issues and pull requests answered on GitHub (the open issues and how recent the replies are). For closed services, a public changelog and a support or community channel that answers, 0 to 15.
- 15, presence in the official MCP registry under a verified namespace (MCP servers), or current official SDKs (APIs and models).
- 10, package health, current dependencies and CI.

Models are read for deprecation notice periods and model churn rather than release counts.

## What we couldn't check

What we couldn't read counted as absent. Publishing it on a page a plain HTTP fetch can read (not only in a browser) lets the next check count it.

- Judgement call. Listed in web-scrapers, as the lead suggested, because its job is crawling and extracting passages from websites. It has none of the proxy or anti-bot capabilities of the category's hosted APIs, so `web.crawl` comes first.
- The lead was right. The repository's first commit in the current history is dated 13 October 2026 with v0.1.0 launch preparation the same day. GitHub records the repository as created on 11 October 2026 and CI runs from 11 and 12 October, so earlier commits were rewritten. `firstReleased` is v0.1.0 on PyPI and GitHub, 13 October 2026. The project is three days old.
- We did not install or run the package or call Jev. Every claim about behaviour comes from the source, the tests and the README. The benchmark figures are the author's.
- unchecked: whether TypeSafe's console accepts new sign-ups or keeps a waitlist. console.typesafe.ai answered 403 to our reader, and typesafe.ai says Jev is in early access.
- jevcrawl's README calls it safe against prompt injection by design. The design limits page text to data fields, but Jev's own limitations page says injected text can move a score, which the README also says.
- No affiliation between Rayen Mlayeh and TypeSafe AI was found. jevcrawl uses the TypeSafe name and console link in its docs.

## Weaknesses

- First released on 13 October 2026, version 0.2.0 and marked alpha, with one maintainer
- `crawl` and `map` need a paid TypeSafe key, and TypeSafe describes Jev as early access with no free tier found
- Page text from every crawl goes to TypeSafe, whose policies give no retention period
- No check against private, loopback or link-local addresses, so an agent can point it at internal hosts
- No MCP tool annotations, no llms.txt and no entry in the official MCP registry

## What costs an agent a turn today

The notes we give agents before they call it. Each one is a workaround an agent shouldn't need.

- Phrase `goal` as one specific question and start with `max_pages` between 10 and 30
- Check `stats.stopped_because` and `stats.degraded`, and read `uncertain` before reporting that something is missing
- Use `scrape` without a goal when you need a whole page, since it makes no paid Jev call and needs no key
- Handle `{"error": code, "message": ...}` results, for example `auth_error` means `TYPESAFE_API_KEY` is missing or rejected
- Pages in `stats.needs_js_urls` were not read. Tell the user rather than guessing their content

## When it's done

Send what changed and where it's published as a dispute (https://www.anchorterminal.com/builders/#disputes, or `POST https://www.anchorterminal.com/api/v1/contact` with `"kind": "dispute"`). Disputes are answered in public, and the listing is checked again by the same checklist. Paying for an audit or a listing claim changes nothing here.

What we couldn't check

  • Judgement call. Listed in web-scrapers, as the lead suggested, because its job is crawling and extracting passages from websites. It has none of the proxy or anti-bot capabilities of the category's hosted APIs, so web.crawl comes first.
  • The lead was right. The repository's first commit in the current history is dated 13 October 2026 with v0.1.0 launch preparation the same day. GitHub records the repository as created on 11 October 2026 and CI runs from 11 and 12 October, so earlier commits were rewritten. firstReleased is v0.1.0 on PyPI and GitHub, 13 October 2026. The project is three days old.
  • We did not install or run the package or call Jev. Every claim about behaviour comes from the source, the tests and the README. The benchmark figures are the author's.
  • unchecked: whether TypeSafe's console accepts new sign-ups or keeps a waitlist. console.typesafe.ai answered 403 to our reader, and typesafe.ai says Jev is in early access.
  • jevcrawl's README calls it safe against prompt injection by design. The design limits page text to data fields, but Jev's own limitations page says injected text can move a score, which the README also says.
  • No affiliation between Rayen Mlayeh and TypeSafe AI was found. jevcrawl uses the TypeSafe name and console link in its docs.

Sources 15

  1. repository README, LICENSE, SECURITY.md and pyproject.toml github.com · seen 2026-10-15
  2. MCP tool definitions and server instructions github.com · seen 2026-10-15
  3. agent skill github.com · seen 2026-10-15
  4. HTTP fetcher (redirects, body cap, user agent) github.com · seen 2026-10-15
  5. goal-less scrape path with no Jev call github.com · seen 2026-10-15
  6. CI and release workflows github.com · seen 2026-10-15
  7. GitHub releases (v0.1.0 13 October, v0.1.1 14 October, v0.2.0 15 October 2026) github.com · seen 2026-10-15
  8. repository metadata (created 11 October 2026, 60 stars) api.github.com · seen 2026-10-15
  9. CI runs api.github.com · seen 2026-10-15
  10. issues api.github.com · seen 2026-10-15
  11. PyPI release history pypi.org · seen 2026-10-15
  12. PyPI download counts pypistats.org · seen 2026-10-15
  13. official MCP registry search (no entry) registry.modelcontextprotocol.io · seen 2026-10-15
  14. Jev models, price and rate limits docs.typesafe.ai · seen 2026-10-15
  15. TypeSafe home page (Jev in early access) typesafe.ai · seen 2026-10-15

Probe metrics

Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. The pollers record uptime for hosted endpoints as they run, and that doesn't change the score either.

Pricing & changes

Pay per use Pay per use The package is free under Apache-2.0. Decisions are billed by TypeSafe for Jev at $0.042 per million input tokens, with output tokens free. The README gives an average of $0.011 per crawl in its benchmark, and `max_decision_usd` (default $0.05) caps each call. We found no free Jev tier.

Prices

ItemPriceUnitNote
Jev 1.13 input tokens, billed by TypeSafe$0.042per 1M tokensOutput tokens free. The package itself is free

Compared across listings on the price index.

Recent changes

  • Latest release

Follow them as a feed at /feeds/tools/jevcrawl.xml, or this listing's score history at history.json.

Connect

Install

uv tool install jevcrawl

Claude Code

claude mcp add jevcrawl -e TYPESAFE_API_KEY=<your key> -- uvx jevcrawl

MCP client configuration

{
  "mcpServers": {
    "jevcrawl": {
      "args": [
        "jevcrawl"
      ],
      "command": "uvx",
      "env": {
        "TYPESAFE_API_KEY": "\u003cyour key\u003e"
      }
    }
  }
}

Through letme picks today, calling later

GET https://letme.dev/jevcrawl

letme.dev answers with this listing and how to call it direct, and picks the best tool for a job by capability or in words. Calling through letme (one key, the vendor's own price) comes later. Nothing on letme.dev is for people to look at; this page explains it.

Similar toolGrade ScoreShared capabilitiesx402
Context.dev Context Dev Inc.A78.2web.scrape web.extract web.crawl scraping.js-renderno
Spider Spider (BAGELMEN LLC)BB74.1web.scrape web.extract web.crawl scraping.js-render✓
Scrapfly Scrapfly (Joam Intelligence, LLC)B69.6web.scrape web.extract web.crawl scraping.js-renderno
ScrapeGraphAI ScrapeGraphAIB68.3web.scrape web.extract web.crawl scraping.js-renderno
Olostep Olostep Technologies, Inc.B63web.scrape web.extract web.crawl scraping.js-renderno
ScraperAPI ScraperAPI (saas.group)D52.1web.scrape web.extract web.crawl scraping.js-renderno

Machine-readable

For vendors

Verify this listing

For the vendor

Is this your product? Link to this page from your own site or README, then tell us where. It shows people and agents that the listing is yours and that you know it's here. It never changes a grade, rank or review.

  1. Add the badge or a link

    jevcrawl on Anchor Terminal, B, 63.7/100
    On a light page
    On a dark page
    <a href="https://www.anchorterminal.com/tools/jevcrawl"><img src="https://www.anchorterminal.com/badges/jevcrawl.svg" alt="jevcrawl on Anchor Terminal" height="20"></a>
    [![jevcrawl on Anchor Terminal](https://www.anchorterminal.com/badges/jevcrawl.svg)](https://www.anchorterminal.com/tools/jevcrawl)

    It counts on a page under github.com/rayenmlayeh, or the README of github.com/RayenMlayeh/jevcrawl.

  2. Tell us where it is

    We read it once now and again every week. If the link is missing two weeks in a row the listing says so, and a later check puts it back.

Agents send the same to POST /api/v1/verify as {"slug": "jevcrawl", "url": "…"}, or call the verify_listing tool at /mcp. Ten checks an hour from one address. What we check. To announce the listing, get sharing assets for social media.

Create a listing video

Preview jevcrawl in motion, then download the video or its individual frames. Up to 30 seconds.

Open the video studio in a full page

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.