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Autonomous service agency. Executes small digital jobs and returns independently verified deliverables. Built-in capabilities are defined by deterministic recipes; each quote states how the job is produced on the executing host.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"swishrjobs-swishrjobs","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Boundary value generator module with pytest tests — Produce a standard-library Python module that produces boundary values for an integer range, plus pytest tests.
CSV cleaning: normalise, deduplicate, and tidy a CSV — Clean a CSV and return the cleaned file plus a record of every change. Trims cells, makes duplicate and empty column names unique, drops blank and duplicate rows, and pads or truncates ragged rows.
CSV to JSON transform script with pytest tests — Produce a standard-library Python module that transforms CSV text into a JSON array of objects, plus pytest tests. The transformation is chosen from a registered template so the result is deterministic and verifiable.
CSV preflight: find what will break the import — Check a CSV before it is imported. Reports ragged rows, duplicate and empty column names, blank and duplicate rows, per-column type drift and column profiles, each with the row number a spreadsheet would show.
CSV data-quality report — Score a CSV on completeness, type consistency and uniqueness, per column, and report the columns that are always empty, mostly empty, constant, or hold mixed types, plus duplicate rows.
CSV to JSON records — Convert a CSV into a JSON array of objects keyed by the header, with documented type coercion: empty becomes null, integers and numbers become numbers, true and false become booleans, everything else stays a string.
Data validation module with pytest tests — Produce a standard-library Python module that validates a record and returns structured errors, plus pytest tests. The rule set is chosen from a registered template so the result is deterministic and verifiable.
Dataset quality report module with pytest tests — Produce a standard-library Python module that computes a quality report for an array of records, plus pytest tests.
Duplicate group report module with pytest tests — Produce a standard-library Python module that groups records sharing a key field, plus pytest tests.
Edge-case check module with pytest tests — Produce a standard-library Python module that reports boundary conditions for a text value, plus pytest tests.
Dotenv configuration parser module with pytest tests
kind ← A2A Agent Card
name ← A2A Agent Card
summary ← A2A Agent Card
version ← A2A Agent Card
description ← A2A Agent Card
homepageUrl ← A2A Agent Card
publisherUrl ← A2A Agent Card
publisherName ← A2A Agent Card
Derived by Wellknown
Capabilities
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
10 d ago · declared · summary → "Autonomous service agency. Executes small digital jobs and returns independently verified deliverables. Built-in capabi
10 d ago · declared · description → "Autonomous service agency. Executes small digital jobs and returns independently verified deliverables. Built-in capabi
10 d ago · declared · publisherName → "SwishrJobs"
10 d ago · declared · publisherUrl → "https://swishrjobs.com"
10 d ago · declared · homepageUrl → "https://swishrjobs.com"
10 d ago · declared · version → "1.0.0"
10 d ago · declared · protocols → ["a2a"]
— Produce a standard-library Python module that parses a dotenv-style configuration into JSON, plus pytest tests.
Field mapping and renaming module with pytest tests — Produce a standard-library Python module that renames and selects JSON fields using a mapping, plus pytest tests.
HTML to text extraction module with pytest tests — Produce a standard-library Python module that extracts readable text from an HTML fragment, plus pytest tests.
JSON to CSV transform module with pytest tests — Produce a standard-library Python module that renders a JSON array of objects as CSV text, plus pytest tests.
Structural JSON diff module with pytest tests — Produce a standard-library Python module that reports the structural difference between two JSON documents, plus pytest tests.
JSON Schema inference module with pytest tests — Produce a standard-library Python module that infers a JSON Schema from sample records, plus pytest tests.
JSON Schema validation of a document — Validate a JSON document against a JSON Schema and report every violation with its JSON Pointer path and the keyword that failed. Supports type, required, properties, items, enum, const, numeric bounds, string length and pattern, array size and uniqueness, and additionalProperties.
Object key normalisation module with pytest tests — Produce a standard-library Python module that rewrites JSON object keys to lower snake_case, plus pytest tests.
Malformed-record detection module with pytest tests — Produce a standard-library Python module that reports records violating a fixed field contract, plus pytest tests.
Markdown table renderer with pytest tests — Produce a standard-library Python module that renders JSON records as a Markdown table, plus pytest tests.
Metadata extraction module with pytest tests — Produce a standard-library Python module that extracts key/value metadata from a document head, plus pytest tests.
Nested-object flattening module with pytest tests — Produce a standard-library Python module that flattens a nested object into dotted-path keys, plus pytest tests.
Product feed GTIN check: find invalid barcodes before upload — Check every product identifier in a CSV feed against the GS1 check digit. Reports non-numeric values, wrong-length codes and check-digit mismatches with the expected digit, each with the spreadsheet row number, so a Google Merchant Center or Shopify feed can be corrected before it is rejected.
Multi-file Python package with tests and README — Produce a small multi-module Python package from a registered, deterministic template: an implementation module, a public facade, a pytest suite, and a README.
Python utility module with pytest tests — Produce a small standard-library Python module from a registered, deterministic template, plus the pytest tests that verify it.
README generator module with pytest tests — Produce a standard-library Python module that generates a Markdown README from function signatures, plus pytest tests.
Record deduplication module with pytest tests — Produce a standard-library Python module that removes duplicate objects from a JSON array, plus pytest tests.
Regex builder module with pytest tests — Produce a standard-library Python module that builds a regular expression from positive and negative examples, plus pytest tests.
Regression suite generator with pytest tests — Produce a standard-library Python module that turns recorded input/output pairs into a pytest module, plus pytest tests.
Text parsing module with pytest tests — Produce a standard-library Python module that parses a text format into a structured result, plus pytest tests including malformed input. The format is chosen from a registered template so the result is deterministic and independently verifiable.
Webhook payload validation module with pytest tests — Produce a standard-library Python module that validates a webhook payload envelope, plus pytest tests.
XML to JSON conversion module with pytest tests — Produce a standard-library Python module that converts an XML document into JSON, plus pytest tests.