com.swishrjobs/swishrjobs · v1.0.0 · data-and-databases
SwishrJobs is healthy: it completed an MCP handshake in 2267 ms and exposes 37 tools.
Deterministic digital jobs with independently verified deliverables.
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 37 |
| Latency | 2267 ms |
| Last checked (UTC) | 2026-10-31T19:30:30.317Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-31T19:30:30.317Z | Healthy | 2267 |
list_capabilities | List every task SwishrJobs can execute, with each one's inputs, deliverables, price, and whether it can run right now. |
get_performance | Return the measured success rate, latency, and expected cost per accepted result for each capability, from controlled synthetic benchmarks. A capability that has not been benchmarked reports measured=false with a null success rate; no rate is ever invented. These are not customer outcomes. |
select_capability | Rank capabilities for a described task by task match, measured synthetic success rate, and expected cost per accepted result, and explain the ranking. Use this to decide which capability to run before quoting it. The task may be described in English, Arabic, Spanish, French, German, Portuguese, Chin |
preflight_job | Validate a job request and receive a priced quote without executing anything. Use this to learn the cost and the accepted inputs before authorizing. |
submit_job | Authorize and execute a previously quoted job, then return the verified result. Requires explicit authorization. Prefer a capability-specific tool (for example submit_csv_json_transformation) when one exists, because it documents that capability's exact inputs. |
submit_boundary_value_generation | Produce a standard-library Python module that produces boundary values for an integer range, plus pytest tests. Choose this when you need the boundary and just-outside values of an inclusive integer range, with tests. Do not choose this for non-integer ranges, random data generation, or property-bas |
submit_csv_clean | 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. Choose this when you want the CSV itself tidied and a change log: cells trimmed, column names made uni |
submit_csv_json_transformation | 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. Choose this when you need a tested, standard-library function that parses CSV text |
submit_csv_preflight | 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. Choose this when you have a CSV file and want the problems listed with the row numbers a s |
submit_csv_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. Choose this when you need a quick, reproducible quality assessment of a dataset: a score plus per-column completen |
submit_csv_to_json_rows | 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. Choose this when you need a CSV delivered as JSON records, with documented type coer |
submit_data_validation_module | 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. Choose this when a record must be checked against a registered rule set and the result i |
submit_dataset_quality_report | Produce a standard-library Python module that computes a quality report for an array of records, plus pytest tests. Choose this when you need a computed quality summary of a record array: counts, presence, nulls, completeness ratio, exact duplicates. Do not choose this for statistical or semantic qu |
submit_duplicate_group_report | Produce a standard-library Python module that groups records sharing a key field, plus pytest tests. Choose this when you need each repeated key value reported with its count and the positions of its members. Do not choose this to remove duplicates (use record-deduplication) or to match near-duplica |
submit_edge_case_check | Produce a standard-library Python module that reports boundary conditions for a text value, plus pytest tests. Choose this when a text value must be classified against a fixed set of boundary conditions, one boolean each. Do not choose this for validation with error messages (use data-validation-mod |
submit_env_config_parsing | Produce a standard-library Python module that parses a dotenv-style configuration into JSON, plus pytest tests. Choose this when you need to parse a dotenv-style configuration into a JSON object, skipping comments and blank lines and honouring quoted values, delivered as a module with tests. Do not |
submit_field_mapping | Produce a standard-library Python module that renames and selects JSON fields using a mapping, plus pytest tests. Choose this when fields must be renamed and selected via an explicit source-to-destination mapping. Do not choose this for computed or transformed values: only names and selection change |
submit_html_text_extraction | Produce a standard-library Python module that extracts readable text from an HTML fragment, plus pytest tests. Choose this when you need the visible text of an HTML fragment with tags removed, script and style contents dropped, entities unescaped and whitespace collapsed, delivered as a module with |
submit_json_csv_conversion | Produce a standard-library Python module that renders a JSON array of objects as CSV text, plus pytest tests. Choose this when you need a tested function that renders a JSON array of objects as CSV, using the union of keys as the header. Do not choose this when you need the conversion performed on y |
submit_json_diff | Produce a standard-library Python module that reports the structural difference between two JSON documents, plus pytest tests. Choose this when you need the structural difference between two JSON documents as added, removed and changed paths, delivered as a module with tests. Do not choose this for |
submit_json_schema_inference | Produce a standard-library Python module that infers a JSON Schema from sample records, plus pytest tests. Choose this when you need a draft 2020-12 JSON Schema inferred from sample objects, with keys present in every record marked required. Do not choose this for a hand-tuned schema or for constrai |
submit_json_schema_validation | 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. Choose this when |
submit_key_normalisation | Produce a standard-library Python module that rewrites JSON object keys to lower snake_case, plus pytest tests. Choose this when object keys must become lower snake_case, with values left untouched. Do not choose this expecting acronym splitting: a capital run like HTTPServer becomes httpserver, not |
submit_malformed_record_detection | Produce a standard-library Python module that reports records violating a fixed field contract, plus pytest tests. Choose this when you need one entry per offending record, naming its index and the rule it broke, against a fixed contract. Do not choose this for a contract outside the registered temp |
submit_markdown_table_rendering | Produce a standard-library Python module that renders JSON records as a Markdown table, plus pytest tests. Choose this when JSON records must become a GitHub-flavoured Markdown table with pipes escaped. Do not choose this for HTML tables, spreadsheet formats, or column alignment rules beyond the tem |
submit_metadata_extraction | Produce a standard-library Python module that extracts key/value metadata from a document head, plus pytest tests. Choose this when 'key: value' metadata must be read from the head of a text document, preserving duplicate keys rather than overwriting. Do not choose this for YAML/TOML front matter pa |
submit_nested_flattening | Produce a standard-library Python module that flattens a nested object into dotted-path keys, plus pytest tests. Choose this when a nested object must become single-level dotted-path keys, leaving lists as leaves. Do not choose this if you need lists indexed into keys (a.0, a.1) or a custom separato |
submit_product_feed_gtin_check | 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. Choos |
submit_python_multifile_package | Produce a small multi-module Python package from a registered, deterministic template: an implementation module, a public facade, a pytest suite, and a README. Choose this when the deliverable is a package rather than one file: a facade, an implementation module, a test suite, and a README, from a r |
submit_python_utility_module | Produce a small standard-library Python module from a registered, deterministic template, plus the pytest tests that verify it. Choose this when you need one small, importable standard-library Python module whose behaviour matches a registered template, delivered with a passing pytest suite you can |
submit_readme_generation | Produce a standard-library Python module that generates a Markdown README from function signatures, plus pytest tests. Choose this when a Markdown README must be produced from a list of function signatures, one section each. Do not choose this for prose documentation or API references beyond signatu |
submit_record_deduplication | Produce a standard-library Python module that removes duplicate objects from a JSON array, plus pytest tests. Choose this when duplicates must be removed from a JSON array, keeping the first occurrence and preserving order, optionally on a key subset. Do not choose this for fuzzy matching or similar |
submit_regex_from_examples | Produce a standard-library Python module that builds a regular expression from positive and negative examples, plus pytest tests. Choose this when a regular expression must be derived from examples using the shared literal prefix, correctly escaped. Do not choose this expecting a general regex synth |
submit_regression_suite_generation | Produce a standard-library Python module that turns recorded input/output pairs into a pytest module, plus pytest tests. Choose this when recorded input/output pairs must become one deterministic pytest case per pair. Do not choose this to test behaviour not covered by the recorded pairs, or to gene |
submit_text_parser_module | 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. Choose this when you need a standard-library parser f |
submit_webhook_payload_validation | Produce a standard-library Python module that validates a webhook payload envelope, plus pytest tests. Choose this when an incoming webhook envelope must be validated to the registered shape and rejected with structured errors. Do not choose this for provider-specific signature verification or for a |
submit_xml_json_conversion | Produce a standard-library Python module that converts an XML document into JSON, plus pytest tests. Choose this when you need a tested, standard-library XML-to-JSON conversion that keeps attributes as '@name' keys and collects repeated elements. Do not choose this when the document uses DTDs, exter |